Python strings an ordered collection of characters used to store and represent information based on text and bytes. In this article, I’ll introduce you to some important Python interview questions on strings. What are Strings? Why are they used? Functionally,…
Data Science Project on Life Expectancy Analysis with Python
Have you ever thought about the possibility of using your phone’s camera for computer vision task? Yes, you can! In this article, I will walk you through how to use your phone camera with Python for computer vision. Learn How…
Machine Learning Project on Bitcoin Price Prediction with Python
Many of you are often confused between machine learning or software development which is a better career for you in 2021. When I started my career in coding, I had the same confusion as well. So, here in this article,…
If something is wrong with your code, Python will try to help you by displaying an error message. These error messages are just bugs in your code. In this article, I’ll walk you through how to fix bugs in Python.…
Most of the numeric types in Python are pretty typical and will probably sound familiar if you’ve used almost any other programming language in the past. In this article, I will introduce you to all the numeric data types in…
Data Science Project on Human Resource Analysis with Python
Are you a quiz fan? Would you like to make one yourself? In this article, I’ll walk you through how to create a quiz game with Python. I will create an animal quiz here. Even though the questions are about…
In the Python programming language, the user-defined classes define new types of objects that extend the base set. In this article, I’ll walk you through a tutorial on Python classes. Introduction to Classes in Python Python supports both procedural and…
Computer vision is all about the applications and algorithms to build intelligent systems to obtain information from images. In this article, I will introduce you to computer vision tutorial with Python. What is Computer Vision? Today, the use of images…
Coding means writing step-by-step instructions that can get a computer to perform a task. In this article, I will take you through what coding is and how to become a coder. With coding, we can make computers do simple tasks…
Artificial Intelligence Projects Solved and Explained with Python
In Machine Learning, an imbalanced dataset is primarily concerned in the context of supervised machine learning where we are dealing with two or more classes. In this article, I’ll walk you through what an imbalanced dataset is in Machine Learning…
Introduction to SMOTE in Machine Learning
An Introduction to the Role of Machine Learning
Machine Learning Project on Authorship Attribution with Python
The tuple object (pronounced like toople or tuhple depending on who you’re asking for) is pretty much like a list that can’t be edited. In this article, I will present a tutorial on Python tuples. Python Tuples Python tuples are…
The stack is a type of restricted container that stores a linear collection. Stacks are very common in computer science and are used in many types of problems related to data structures and algorithms. In this article, I’ll walk you…
Text Summarization is the process of creating a summary of a certain document which contains the most important information of the original, the purpose of which is to obtain a summary of the main points of the document. In this…
The term Fibonacci series is used to describe the sequence of numbers generated by a pattern where each number in the sequence is given by the sum of the two preceding numbers. In this article, I will explain how to…
Python dictionaries are something completely different, they are not sequences at all, but are rather known as mappings. In this article, I will introduce you to a tutorial on Python dictionaries. Python Dictionaries Mappings are collections of other objects, but…
Implementation of Sparse Matrix with Python
The list datatype is the most general sequence provided by the Python programming language. In this article, I’ll walk you through a tutorial on Python lists. Python Lists Lists are collections ordered by the position of arbitrarily typed objects and…
Machine Learning Project on House Price Prediction with Python
Searching and sorting are two of the most common applications in computing. In this article, I’ll walk you through the most important coding interview questions about searching and sorting algorithms. What is Searching and Sorting? When people collect and use…
Introduction to Bias and Variance in Machine Learning
Understand which programming language is used for which task.
In the process of building a machine learning model after handling null values and turning categories into numbers and preparing them for our models, the next step is to transform the data for outliers detection and models that require normally…
Machine Learning Project on Real-Time Face Mask Detection with Python
Learn to find correlation using Python
Data types make programming easier and are more powerful and efficient than most that can be created from scratch. In this article, I’ll walk you through some Python interview questions on data types. What are Data Types? A data type…
Introduction to Data Structures and Algorithms
An introduction to Named Entity Recognition
Implementation of the game of life with Python
In machine learning, Speech recognition is an interesting task that allows you to recognize the text behind the audio. With the use of voice recognition, we can also extract text from a video. In this article, I will walk you…
Machine Learning Project on Named Entity Recognition with Python
An Introduction to Sentiment Analysis in Machine Learning
There are many occasions when we need to execute one or more statements multiple times until a condition is met. In programming, running a condition multiple times is done using loops. In this article, I’ll show you some examples of…
Bar Plots Tutorial with Python using Matplotlib
Machine Learning Project on Number Plate Detection with Python
An introduction to Object Detection in Machine Learning.
Data Science Project on IPL Analysis with Python
Print Colored Text with Python using Colorama
Create a Fidget Spinner game with Python
Machine Learning Tutorial on Gold Price Prediction with Python
Machine Learning Project on Object Detection with Python
Python allows users to define their functions which can be used just like any other built-in or library function. In this article, I’ll show you some examples of functions in Python. What are the Functions in Python? There are two…
Stratified Sampling Tutorial with Python
In Data Science, the most used data structures are the Series and the DataFrame which deal with arrays and tabular data respectively. In this article, I will walk you through a tutorial on pandas DataFrame with Python. What is a…
Introduction to Pandas Series with Python
In Python, a class is an outline that describes the data stored in an object and defines the operations that can be performed on the object. In this article, I’ll show you some examples of classes with Python. What are…
Data Science Project on Highest-Paid Athletes Analysis with Python.
Learn to create a BMI Calculator with Python.
If Else statements are used as a form of conditional programming which is something that you probably do every day in the real world. In this article, I’ll show you some examples of If-Else with Python programming language. Introduction to…
Machine Learning Project on Text Generation with Python
Scatter Plots with Python using Matplotlib
Introduction to The Most Important Functions in Python.
Machine Learning Tutorial on K-Nearest Neighbors with Python.
5 Best Python Books for Beginners
A Complete Machine Learning Project Walkthrough with Python.
In machine learning, spelling correction and spell checking is a well-known and well-studied problem in natural language processing. In this article, you will learn about a very basic machine learning project on spelling correction with Python programming language. Introduction to…
Who is a Data Scientist? What Does a Data Scientist Do?
You will often see people setting random_state=42. Usually, this number has no special properties, but in this article, I’ll explain why random_state=42 in Machine Learning. What is Random_state in Machine Learning? Scikit-Learn provides some functions for dividing datasets into multiple…
Introduction to Data Analysis
Learn how to create donut plots with Python.
The data-driven world we live in can make or break any business. There are big companies that are gone in no time because they have failed to monitor their customer base or their progress. In this article, I’ll walk you…
Data Science Project on Income Classification with Python.
Facebook Prophet Model tutorial with Python.
Machine Learning is one of the most important parts of the data-driven economy. If you want to learn machine learning you must be having complete knowledge of what to learn before starting with Machine Learning. In this article, I will…
To operate a machine like a human, the machine must learn to work, because the machine learning and deep learning techniques are used to help a machine solve a problem in real-time. They both have algorithms that work on these…
Dealing with Class Imbalance in Machine Learning using SMOTE
Learn to solve business problems with Machine Learning.
In the era of the data-driven economy, it is very important to know the use of technologies like Machine Learning, Artificial Intelligence, and Data Science in your career options. It does not matter what field you are in, important is…
Creating Turtle Graphics with Python
How to Learn Machine Learning after Commerce?
20 Machine Learning Projects on Computer Vision Solved and Explained with Python.
Simulating the Monty Hall Problem with Python.
The most important Machine Learning interview topics.
Machine Learning Project on Language Translation with Python.
Python program to convert video to audio.
20 Machine Learning Projects on NLP Solved and Explained with Python.
Machine Learning project on Sentiment Analysis with Python.
In this article, I will take you through a complete Machine Learning Interview Preparation step by step process. Machine Learning is a field of Artificial Intelligence, the person doing a job in machine learning field needs to train Machine Learning…
10 Machine Learning Projects on Time Series Forecasting Solved and Explained with Python.
Machine Learning Project on Resume Screening with Python.
In this article, I will introduce you to an advanced Python project on Tic Tac Toe GUI with Python. This game is very popular and is quite simple in itself. It is a two-player game. In this game, there is…
30 Python Projects Solved and Explained.
200+ Machine Learning Projects Solved and Explained with Python.
In this article, I will take you through how to create a Calculator GUI with Python programming language. Here I will use the Kivy package in Python to build a Calculator GUI. Kivy is a free, Open Source Python library…
Machine Learning Project on Sign Language Classification with Python.
20 Machine Learning Projects for Portfolio Solved and Explained with Python.
In this article, I will walk you through how to create a number guessing game with the programming language Python and C++. A guessing game includes handling user input, using the if statement as well as looping constructs. How Number…
Data Science Project on Online Shopping Intention Analysis with Python.
12 Machine Learning Projects on Object Detection Solved and Explained with Python.
List Comprehensions in Python are concise syntactic constructs. They can be used to generate lists from other lists by applying functions to each item in the list. In this article, I will introduce you to the concept of list comprehensions…
Data Science Project on Network Graph Analysis with Python.
5 Web Scraping Projects with Python.
Visualizing 3D Surface Plots with Python.
A large number of image file formats are available for storing graphic data, the most popular being JPG and PNG. In this article, I will take you through how to create an image converter GUI with Python to convert PNG…
Learn how to read large datasets with Python.
This article is a tutorial on NLP with Python. Here you will learn how to use the main NLP library known as spaCy to undertake some of the most important tasks of working with text data. Introduction to Spacy for…
Learn how to build algorithms with Python.
Machine Learning Project on Keyword Extraction with Python.
Python Program to Convert Fahrenheit to Celsius
Python Program To Correct Spellings
Data Science Project on Amazon Bestselling Books Analysis with Python.
20 Machine Learning Projects on Future Prediction with Python.
Implementation of Sorting Algorithms with Python
Machine Learning Project on Covid-19 Cases Prediction with Python for Next 30 Days.
The use of chatbots has evolved rapidly in many areas in recent years, including marketing, support systems, education, healthcare, cultural heritage, and entertainment. In this article, I will introduce you to 4 Python chatbot projects for beginners and advanced levels.…
Weight conversion means to multiply the value of a unit with the standard conversion value. In this article, I will take you through how to create a weight converter GUI with Python programming language. The standard weight conversion values include:…
7 Python GUI Projects for Beginners
Data Science Project on YouTube Trending Videos Analysis with Python.
All Unsupervised Learning Algorithms Explained with Python.
Create a Chessboard with Python
All Machine Learning Algorithms Explained with Python.
GeoPandas is an Open Source Python package that offers the best combination of spatial data analysis and mapping functions in Python. In this article, I will introduce you to the concept of GeoPandas in Python programming language. Introduction to GeoPandas…
10 Machine Learning Projects on Regression Solved and Explained with Python.
Understand How Machines Learn with Machine Learning
10 Machine Learning Projects on Classification Solved and Explained.
Logistic Regression Algorithm in Machine Learning with Python.
Machine Learning Project on Gender Classification with Python.
6 Sentiment Analysis Projects with Python.
Learn How To Choose a Machine Learning Algorithm.
Machine Learning Project on Flower Recognition with Python.
100+ Topic of Machine Learning Explained using Python
4 Recommendation System Projects Solved and Explained
The complete process of machine learning.
20 Deep Learning Projects Solved and Explained with Python.
Learn How to Convert Categorical Features to Numerical Values in Machine Learning.
In this article, I will introduce you to a machine learning project on pneumonia detection with the Python programming language. Pneumonia is an inflammatory condition of the lung mainly affecting the small air sacs called alveoli. Introduction to Pneumonia Detection…
In this article, I will take you through 5 Covid-19 Projects with Python and Machine Learning. We have experienced a rise in technology with the rise of Covid-19 as technology is helping a lot that you can ever imagine. So…
In Machine Learning, we train models using training data. In this article, I’ll walk you through how much training data is required for a machine learning model. How Much Training Data is Required for Machine Learning? Given the difficulty of…
Machine Learning Project on Employee Attrition Prediction with Python.
Learn How to Determine Target Variable in Machine Learning.
Linear Regression Algorithm using Python Programming language.
How to reduce overfitting is the most important question many machine learning practitioners ask while working on projects. Well, that’s a good question because we all want models that perform well on unseen data. In this article, I’ll walk you…
Machine Learning Project on Hand Gesture Recognition.
To perform some essential data cleansing, you need to go deeper to extract additional value from the data that improves the performance of your machine learning model. In machine learning, this process is called feature engineering. In this article, I’ll…
The Practical Use Cases of Machine Learning.
Machine Learning Project on Face Mask Detection with Python.
The best resources to learn machine learning for free.
Market Basket Analysis using Apriori Algorithm in Machine Learning
This article will introduce you to over 100+ machine learning projects solved and explained using Python programming language. Machine learning is a subfield of artificial intelligence. As machine learning is increasingly used to find models, conduct analysis and make decisions…
Convert a Pdf to audiobook
Machine Learning Project on Breast Cancer Detection Model
Machine Learning Project for beginners on Stock Price Prediction.
Set up and create a Python virtual environment for Windows, macOS, and Linux.
Learn how to create a CSV file using Python.
Machine Learning Project on Earthquake Prediction Model using Python.
Introduction to Exception Handling in Python programming language.
Outlier Detection in Machine Learning using Hypothesis Testing.
3 Golden Rules to Improve Your Machine Learning Skills.
Machine Learning Project on Heart Disease Prediction using Python.
The Concept of Worst Case, Average Case, and Best Case in Algorithm Analysis.
Introduction to MERN Stack
Data Analysis Project for Beginners on Plastic Users Analysis with Python.
Introduction to Accuracy, F1 Score, Confusion Matrix, Precision and Recall in Machine Learning.
Machine Learning Project on Landmark Detection using Python programming language.
Machine Learning in 5 Lines of code with MindsDB and Python.
Difference Between Data Science, Artificial Intelligence, Machine Learning and Deep Learning.
Introduction to R Programming language for Machine Learning.
The Complete Roadmap for Machine Learning.
Tips of How To Learn Programming in the right way?
Introduction to the types of CNN Architectures in Machine Learning.
Introduction to the Fundamentals of Competitive Coding.
Introduction to Anomaly Detection in Machine Learning.
Introduction to The Benefits of Competitive Coding.
Introduction to the most important Python Libraries for Data Visualization.
Introduction to the Types of Machine Learning Algorithms.
Learn to handle Time Zones with Python.
Introduction to Hadoop in Data Science.
Build a Chatbot with Python and Machine Learning.
Understand the Difference Between Data Science and Actuarial Science.
Introduction to DBSCAN Algorithm in Machine Learning.
Introduction to Boosting Algorithms in Machine Learning.
Understand Why and How you can contribute to Open Source Projects with your coding skills.
Age and Gender Detection with Machine Learning using the Python programming language.
The Types of Data Science Jobs and their skills required.
Introduction to TF-IDF Vectorization in Machine Learning and its implementation using Python.
Tips to create a job-winning data science portfolio.
Introduction to Stopwords in Machine Learning using Python Programming Language.
The implementation of Bag Of Words in Machine Learning using Python Programming Language.
An Introduction to the Machine Learning behind Self-Driving Cars.
Introduction to Cross-Validation in Machine Learning and its implementation with Python.
Learn how Google uses machine learning in its applications to serve its services.
A Complete Introduction to Unsupervised Machine Learning and Its Types.
Topic Modeling in Machine Learning using Python programming language.
Introduction to Supervised Learning and its types: Classification and Regression.
Build a Barcode and QR code reader with Python and Machine Learning.
5 Types of Analysis in Data Science You Should Know.
Introduction to Data Types in C++.
Learn to create your own Audiobooks with Python.
Introduction to K Nearest Neighbour Algorithm in Machine Learning.
The Fundamentals of Programming you should know.
The geometric intuition behind clustering in machine learning is simple: you want to group data points that are “close” in a certain sense. So, for any algorithm to work, you need to have a concrete way to measure “proximity”; such…
What is Support Vector Machine (SVM) and How it works?
In Machine Learning, decision trees are very versatile supervised learning models that have the important property of being easy to interpret. In this article, I will explain what the Decision Trees Algorithm in Machine Learning is and how it works.…
The Role of Statistics in Machine Learning.
Learn How Recommendation Systems Work.
Basic Python Program to Find the Area of a Triangle.
Handwriting Recognition with Machine Learning Using KNN and Python Programming Language.
Learn To Generate Contour Plots with Python
The most important techniques of Data Visualization for Machine Learning.
Learn to find the Square Root of a number using the Python Programming Language.
A Simple Way of Face Detection with Python
Everything we see as a final output has a process involved. Machine Learning algorithms also follow a process, it doesn’t matter you are working with numerical data, images, audio or data in any form the process remains the same. In…
In this article, I will take you through the implementation of Graph Algorithms with Python. As a data scientist, you should be well aware to find relationships among people by using the network they create within each other. So here…
In this article, I will take you through the Ridge and Lasso Regression in Machine Learning and how to implement it by using the Python Programming Language. The Ridge and Lasso regression models are regularized linear models which are a…
Basic Python Program to Add Two Numbers
On October 5, 2020, Python released a new version of Python, 3.9.0rc2. In this article, I will introduce you to the updates to Python in Python 3.9. Here you will get all the important information about the highlights of the…
In this article, I will explain to you how we can visualize the solar system with Python. There is a great selection of graphics libraries in Python that allows you to plot all major types of graphics so that you…
In this article, I will take you through the complete knowledge of the interview process for a job role in Machine Learning. Here you will get all the information regarding how to apply for a job and get your interview…
From changing buying habits to piloting elections, our data is so much valuable to someone you can never imagine. In this article, I’ll take you through why data is so valuable in the age of data science and machine learning.…
In this article, I will take you through how you can extract text from PDF files using Python. To extract text from a PDF is not an easy task, there is a lot to do here. But for some help,…
In this article, I will walk you through the task of Global Pandemic COVID 19 Analysis with Python. COVID-19 does not need to be introduced, it is the latest infectious disease to take hold of the whole world. So, have…
LSTM Model for Title Generator
In this article, I’ll walk you through how to make a card game with Python. In this card game, each player draws a card from the deck and the player with the highest card wins. I’m going to build this…
Have you ever thought about how the autocorrect features works in the keyboard of a smartphone? Almost every smartphone brand irrespective of its price provides an autocorrect feature in their keyboards today. So let’s understand how the autocorrect features works.…
In this article, I’m going to walk you through 4 ways you can earn money with machine learning without doing any work. Have you heard of machine learning contests? They are a good way to practice your skills, besides that…
Python is a modern interpreted programming language that can be used to build programs using a procedural or object-oriented paradigm. It provides many built-in features and has simple and easy to learn syntax. In this article, I’ll introduce you to…
So this is a question that do I need a degree in Machine Learning or not, which I get asked quite a lot, and the answer is it depends. It depends on you. It depends on your background, what you’ve…
In this article, I will take you through Deepfake Detection with Python and Machine Learning. I recently wrote an article on what is Deepfake and how it is dangerous. If you don’t know what is Deepfake then I will suggest…
In this article, I will take you through how we can create a quiz game with Python. If you are a beginner in Python then this is an ideal task for you because while building this quiz game you will…
Many of you get often confused between Machine Learning Or Software Development, which is a better career for you. When I started with my career in coding I also had the same confusion. So here in this article, I will…
In this article, I will explain to you what Deepfake is in Machine Learning, how it works. In Machine Learning the Deepfake technology swaps a person’s face in an image or video with another person’s face. Deepfake in machine learning…
In this article, I will take you through how we can predict the US presidential elections with Python. Here, I will not train any machine learning model. I will analyze the sentiments of people for the candidates and then at…
In machine learning, annotation is the process of identifying data that is available in different formats, such as text, video, or images. Labelled data sets are needed for supervised machine learning so that machines can interpret the input sequence with…
In this article, I’m going to create a web scraper with Python that pulls all the stories from Google News by extracting all the tags from the HTML of Google News. Google News uses tags to create links to the…
In this article, I will take you through the best laptops for machine learning. It does not matter if you are a professional programmer, a freelancer programmer or a programming student, you always desire for a laptop that can be…
Github is a very popular version control system. Typically, you use a version control system in conjunction with a service that stores your software in the cloud. In this article, I’ll walk you through how to use Github as a…
In this article, I’ll walk you through how to convert an image to a pencil sketch with Python in less than 20 lines of code. Python is a general-purpose programming language and with the growing popularity of Python, it can…
Fake Currency Detection is a real problem for both individuals and businesses. Counterfeiters are constantly finding new methods and techniques to produce counterfeit banknotes, which are essentially indistinguishable from real money. At least for the human eye. In this article,…
The coding interview is a daunting experience. Imagine that you are interviewed for the job of your dreams, you are completely analyzed. Every statement you make and every code you write is noticed intensely. In this article, I’ll walk you…
There are more than 600 programming languages. The demand and popularity of programming languages keep changing every year. Also, new programming languages are coming with interesting features. It becomes difficult to guess which one to choose for which framework. So…
In this article, I will take you through how the tinder or other dating sites algorithms work. I will solve a case study based on tinder to predict tinder matches with machine learning. Now before getting started with this task…
The role of a developer in an organization is one of the highest-paying roles. Whether it’s a stunning website, high performing e-commerce site, or any other web application based on a machine learning model, it is the work of a…
In this article, I will take you through how we can classify the nationalities of people by using their names. You will be thinking about how we can classify nationalities by using just names. There is a lot about how…
In this article, I’ll walk you through how to save machine learning models. Model progress can be recorded during and after training. This means that a model can pick up where it left off and avoid long periods of training.…
The main difference between bad programmers and good programmers is whether they consider their code or their data structures and algorithms to be more important. Bad programmers worry about code. Good programmers care about data structures and algorithms. In this…
In Python, Decorators are models of software design. They dynamically modify the functionality of a function, method, or class without having to directly use subclasses or modify the source code of the decorated function. If used correctly, then these functions…
The discovery of the TikTok Algorithm is a very popular and powerful recommendation system. Similar to Netflix and YouTube, the TikTok algorithm works out of you. It can only provide you with profiled recommendations if you use the app by…
In this article, I will introduce you to some tips and advice on how to improve your programming skills. Many newbies and practitioners ask questions about how they can improve their programming skills so that they can also create something…
In this article, I will walk you through how to create a text editor GUI with Python that can create, open, edit, and save text files. We need three important widgets to create the desired text editor GUI with Python;…
The professional role in the field of Machine Learning can provide a very good salary. However, some companies may see the role differently, resulting in a widely varying salary range around the world. In this article, I’ll explain how much…
You must have used Instagram once in your life, have you noticed that you see a variety of Instagram filters when uploading an image. These filters are designed to improve the quality of the image. These filters are an example…
Like many categories of fruit, datasets almost always require some form of pre-cleaning and human manipulation before they are ready for digestion. For machine learning and data science more broadly, there are a large number of techniques for the process…
In this article, I will take you through a full machine learning course for free. This machine learning course is for those who are learning machine learning on their own. Yes, it’s possible to learn it on your own, you…
If you are very good with Python and now want to look for opportunities to get something in return for your programming skills with Python then here in this article I will walk you through some tips and steps needed…
In Machine Learning Scalars, Vectors, Matrices and Tensors are the part of Linear Algebra which is used in the mathematical computations in Machine Learning. In this article, I will take you through what are Scalars, Vectors, Matrices and Tensors in…
The modern game of cricket generates a lot of statistical and user-generated data. This information is used by coaches and performance analysts to design strategies for future games and seek out new talent. In this article, I will analyze an…
In Machine Learning, StandardScaler is used to resize the distribution of values so that the mean of the observed values is 0 and the standard deviation is 1. In this article, I will walk you through how to use StandardScaler…
Python is the best language for machine learning for several reasons. First, Python has a clear syntax. Second, it makes the manipulating text extremely easy. A lot of people and organizations use Python, so there’s a lot of development and…
In this article, I will take you through how we can predict the IPL winner with machine learning. The Indian Premier League (IPL) is a professional Twenty20 cricket league in India, played in March or April and May of each…
In Python, Generators are lazy iterators created by generator functions or generator expressions. In this article, I will introduce you to generators in Python. At the end of this article, you will learn what generators are and how to implement…
In this article, I will introduce you to a very important concept for machine learning practitioners: when do we need machine learning. It’s one of those basic issues that every computer science student faces when moving from basic computing practices…
In this article, I am going to walk you through how we can train a model that will help us predict car prices with Machine Learning using PyTorch. The dataset I’m going to use here to predict car prices is…
Machine learning is about designing algorithms that automatically extract valuable information from data. The emphasis here is on ‘automatic’, that is, machine learning is about general-purpose methodologies that can be applied to many sets of data while producing something meaningful.…
Python is now one of the most popular and skillful languages in programming domain. In this article, I will take you through some of the most important Python interview questions you need to know. To sit in an interview you…
In machine learning, model validation is a very simple process: after choosing a model and its hyperparameters, we can estimate its efficiency by applying it to some of the training data and then comparing the prediction of the model to…
Electronically stored medical imaging data is plentiful and Machine Learning algorithms can be fed with this type of dataset, to detect and uncover patterns and anomalies. In this article, I will introduce you to five machine learning projects for healthcare.…
For most businesses, the story generally goes as follows. A customer calls to complain, praise or ask for help, then the call is recorded for further training or assessment, then the recording is usually chosen at random, listened to by…
One of the reasons I want you to learn about physical computing is because small computers doing physical activities are all around you. And we mean everywhere. Go up to your kitchen. Look around you. Your refrigerator has a computer,…
Python Lists are the most flexible and ordered collection object. Lists can contain any type of data types: numbers, strings, and even lists. The best way to understand list in python is to understand by using it. A list can…
For any given machine learning problem, many algorithms can be applied and several models can be generated. A spam detection classification problem, for example, can be solved using a variety of models, including naive Bayes, logistic regression, and deep learning…
In this article, I will walk you through a numerical computational task with Python to count rainy days with python. Imagine you have a data series that represents the amount of precipitation each day for a year in a given…
Natural Language Processing (NLP) consists of developing applications and services capable of understanding human languages. Some practical examples of NLP are speech recognition, for example, Google voice search, understanding content or analyzing feelings, etc. In this article, I will take…
In this article, I will introduce you to JSON in Python. At the end of this article, you are going to learn what JSON is, why it exists, why people use it, and finally how to use the power of…
Computer vision is a field of machine learning that processes images to solve real visual problems. In this article, I’m going to introduce you to some very useful computer vision projects and tasks that will help you boost your portfolio.…
Humans have an inherent ability to transfer knowledge between tasks. What we acquire as knowledge while learning a task, we use it in the same way to solve related tasks. The more the tasks are linked, the easier it is…
Have you ever heard of the word API and wondered what it is exactly? Got a vague idea, but want to know more about what you could do with an API and how you could create one? In this article,…
Machine learning is becoming a fundamental need for every business these days and plays a major role in differentiating your startup from others. Unfortunately, most startups underestimate how difficult and expensive implementing machine learning can be. Here are the guidelines…
Sometimes we can be in a situation where we need to send emails to multiple people in a personalized way. Although these emails follow the same format, the information they contain varies from recipient to recipient. In this article, I…
Automated machine learning, also known as AutoML, is an emerging field in which the process of building machine learning models to model data is automated. AutoML can make modelling easier and more accessible for everyone. In this article, I’ll walk…
If you are a Machine Learning Practitioner, you must be having this question these days that will AutoML replace Data Science Jobs or not? Now, this is a good question if you are dedicated to your practice and you will…
In this article, I’ll walk you through a colour recognition task with Python. This process is also known as colour detection. We are going to create a basic application that will help us detect colours in an image. The program…
In this article, I will take you through an excellent technique to create a 3D video with python by using the matplotlib package. But before learning to create a 3D video with python, I would suggest you learn how to…
In B2B marketing, companies use customer relationship management (CRM) software such as Salesforce, Oracle, and SugarCRM to maintain contact records of business partners who maintain key roles in decision making and purchasing. This data can be used in machine learning…
In Python, NumPy Broadcasting describes how arithmetic works between arrays of different shapes. This is a very powerful feature, but one that can be easily misunderstood, even by experienced users. In this article, I will introduce you to NumPy Broadcasting…
A local image characteristic is a tiny patch in the image that is indifferent to the image scaling, rotation, and lighting change. It’s like the tip of a tower or the corner of a window in the image below. In…
AB Testing refers to a randomized controlled experiment designed to understand how system variants affect metrics. Most major websites today run hundreds or even thousands of AB tests simultaneously, as different product groups seek to optimize for different metrics. In…
Besides the def statement, Python also provides a form of expression that generates function objects. Due to its similarity to a Lisp language tool, it is called lambda. In this article, I will introduce you to the Lambda function in…
In Machine Learning, a seasonal autoregressive integrated moving average (SARIMA) model is a different step from an ARIMA model based on the concept of seasonal trends. In this article, I will introduce you to the SARIMA model in machine learning.…
Great, you’ve got approval to launch a machine learning model. Now you need to prepare your solution for production (e.g. tweaking the code, writing documentation and testing, etc.). Then you can launch your machine learning model in your production environment.…
Word embeddings or word vectors represent each word numerically so that the vector matches how that word is used or what it means. Vector encodings are learned by considering the context in which the words appear. Words that appear in…
Rainfall Prediction is one of the difficult and uncertain tasks that have a significant impact on human society. Timely and accurate forecasting can proactively help reduce human and financial loss. This study presents a set of experiments that involve the…
A simple solution to the sequence search problems is the linear search algorithm, which is also known as a sequential search algorithm. In this article, I will tell you how to create a linear search algorithm with python. How Linear…
Proximity analysis is a way to analyze the locations of features by measuring the distance between them and other features in the area. The distance between point A and point B can be measured in a straight line or along…
In this article, I will explain how to create interactive maps with the folium package in python. Along the way, you will also learn how to apply your new skills to visualize Boston criminal data. To get started with the…
Random sampling is part of the sampling technique in which each sample has an equal probability of being selected. A randomly selected sample is meant to be an unbiased representation of the total population. In this article, I’ll walk you…
Natural Language Processing (NLP) is a great task in Machine Learning to work with languages. However, you must have seen everyone working with only in the English language while working on a task of NLP. So what about other languages…
In this article, I will take you through how we can analyze Healthcare data with Python. The process of data analysis remains almost the same in most of the cases, but there are some domains which are very much categorical.…
If you are thinking to choose Python as your first programming language then here in this article, I will take you through why you should think about it again to choose Python as the first programming language. Python is becoming…
In this article, I will take you through a real-world task of Machine Learning task to predict the migration of humans between countries. Human migration is a type of human mobility, where a journey involves a person moving to change…
The genetic algorithm is a computer approximation of how evolution performs research, which involves making changes to the parent genomes in their offspring and thus producing new individuals with different abilities. In this article, I will walk you through how…
Well, sometimes to access big data you have to use a BigQuery. It is important to understand that you are not only storing the data in the cloud, you are also using the data analysis tools in the cloud. You…
To create a neural network, you need to decide what you want to learn. Here, I’m going to choose a fairly simple goal: to implement a three-input XOR gate. (It’s an exclusive OR gate.) The table shows the function we…
Groupby is a fairly simple concept. It helps in creating a group of categories and apply as a function to the categories. It’s a simple concept, but it’s an extremely valuable technique that is widely used in data science. The…
In this article, I will introduce you to the application of Machine Learning in healthcare. I will show you how we can work on the lung segmentation task with machine learning using python. Lung Segmentation with Machine Learning Lung segmentation…
In cross-validation, we run the process of our machine learning model on different subsets of data to get several measures of model quality. For example, we could start by dividing the data into 5 parts, each 20% of the full…
In this article, you will learn what data leakage is and how to avoid it. If you don’t know how to prevent it, leaks will frequently occur and ruin your models in subtle and dangerous ways. It is, therefore, one…
Neural networks and various other models of how the brain works have been around since people started talking about artificial intelligence. This article introduces you to the concept of neural networks and how to implement them using Python. Understanding Neural…
XGBoost or Gradient Boosting is a machine learning algorithm that goes through cycles to iteratively add models to a set. In this article, I will take you through the XGBoost algorithm in Machine Learning. The cycle of the XGBoost algorithm…
By the end of this article, you will understand the concepts of overfitting and underfitting in machine learning, and you can also apply these concepts to train your machine learning models more accurately. What are Overfitting and Underfitting in Machine…
Lambda is a new hardware company that was founded in 2012 but has already produced some great pieces of hardware. In this article, I’ll go over Tensorbook, which is a machine learning laptop produced by Lambda, and why I think…
Neural networks and various other models of how the brain works have been around since people started talking about artificial intelligence. In this article, I’m going to introduce you to some very useful neural networks projects that you can use…
In this short article, I’ll show you how you can use the power of Python to extract text from images. The applications of this technique are endless. Some examples include: Data mining for machine learning tasks Take photos of receipts…
ABC analysis assumes that income-generating items in an inventory follow a Pareto distribution, where a very small percentage of items generate the most income. In this article, I’ll walk you through how we can perform ABC analysis with Machine Learning.…
In this article, I will take you through how we can implement Moving Averages with Python. Moving averages are commonly used by technical analysts and traders. If you’ve never heard of a moving average, you’ve probably at least seen one…
Edge AI begins with Edge Computing. It is also known as edge processing, edge computing is a network technology that positions servers locally near devices. In Machine Learning Edge AI helps reduce system processing load and resolve data transmission delays.…
This article is a continuation of my series on Building Robots with Python. This is the second article on Robots with Python, if you have missed the first one of this series then I will recommend you to read the…
In these types of machine learning problems to predict fuel efficiency, we aim to predict the output of a continuous value, such as a price or a probability. In this article, I will take you through how we can predict…
Robots. It’s a name we’ve been talking about for a hundred years. Did you know there was a robot in Frank Baum’s Land of Oz in 1907? He didn’t call it a robot, but it is a robot. In this…
In this article, I’ll walk you through the 5-step process of data science. Let me walk you through these steps first and then walk you through all the steps involved in the Data Science process. The data science process includes:…
In Machine Learning, spaCy is a very useful open-source library for advanced natural language processing (NLP) tasks for Python. If you work with a lot of text, you might want to learn more about it. For example, what is it?…
In this article, I will introduce you to a text classification model with TensorFlow on movie reviews as positive or negative using the text of the reviews. This is a binary classification problem, which is an important and widely applicable…
In this article, I will analyze Diamonds with python using data science tools. For this first problem, I want to choose a pretty simple dataset from Kaggle. You can easily download this dataset from here. Now let’s start with this…
OpenCV is a bunch of stuff mainly dealing with processing images and videos on your computer. This is a standard library for Computer Vision for Python tasks. In this article, I will introduce you to a tutorial on OpenCV with…
One of the most important reasons Python is so valuable to use for machine learning is because of its huge collection of libraries for computational algorithms and visualization tools. In this article, I’ll introduce you to the most important Python…
For all the hype around packages, a python package is a pretty straightforward thing. It’s just a file with a .py extension that contains Python code. That’s all. So every time you write Python code and save it to a…
In this article, I will train a model to predict weather with machine learning. We will act as if we do not have access to the weather forecast. We have access to a century of historical averages of global temperatures,…
In this article, I am going to explain how we can train a neural network model for the task of image classification with TensorFlow. For those new to TensorFlow, TensorFlow is an end-to-end open-source platform for machine learning. It has…
If I say that Python is better than R it will be true for me, it might not be true for you. You might have your reasons that R is more useful than Python. But For data science and Machine…
Machine learning algorithms often get the majority of attention when people discuss machine learning; however, success depends on good data. There are mainly two types of data, structured data and unstructured data. In this article, I’ll walk you through how…
Neural networks can be a difficult concept to understand. I think it’s mainly because they can be used for so many different things like classification, identification or just regression. In this article, I will walk you through how to set…
If you are a beginner in Machine Learning you must be confused about how to use which algorithm where and how to choose whether we need to train an algorithm or we need to build a Neural Network. Well, my…
With the growing demand for experts in the field of Machine Learning, more and more experts are starting to research common questions for their interviews. In this article, I’m going to introduce you to some very common machine learning interview…
The first galaxy was observed by a Persian astronomer Abd al-Rahman over 1,000 years ago, and it was first believed to be an unknown extended structure. which is now known as Messier-31 or the infamous Andromeda Galaxy. From that point…
My Journey from Commerce to Machine Learning.
If you think that TensorFlow and PyTorch are the only ways to Neural Networks with Python then I would tell you that you are wrong. As there is another package to build Neural Networks with Scikit-Learn and Python. In this…
Here in this article, I will take you through how to implement a binary search algorithm with python. Binary search also called half-interval search, which is an algorithm used in computers systems to find the position of a value in…
In machine learning, one hot encoding is a method of quantifying categorical data. Briefly, this method produces a vector of length equal to the number of categories in the dataset. In this article, I will introduce you to the One…
Let me tell you the story of a small browser the Internet Explorer. At the beginning of its journey, there was a very deep love for Internet Explorer by the users, a deep and passionate love for this browser which…
In this article, I’m going to introduce you to some of the best machine learning books that can help you understand machine learning concepts and guide you on your journey to becoming an expert in this engaging field. Moreover, these…
In this article, I will use the algorithm provided by Facebook, popularly known as Facebook Prophet Model. I will use the Facebook Prophet Model for Daily Births Forecasting using Machine Learning. The Data I will use here is a very…
During my time in data science and machine learning, I have met many employers and interviewers. So here in this article, I would like to share how to prepare your data science resume and even interviews for a Data Science…
A very common confusion among those new to machine learning is the difference between a machine learning algorithm and a Model in machine learning. The two terms are often used interchangeably, which makes it even more confusing. So in this…
If you are a machine learning practitioner and you have a good understanding of the complexities and know the benefits of leveraging machine learning to solve business problems. Now you should know that you need to arm yourself with the…
Humans take no effort to distinguish a dog, cat, or flying saucer. But this process is quite difficult for a computer to emulate: it only looks easy because God designs our brains incredibly well to recognize images. One common example…
Data science and machine learning can often require an overwhelming amount of skill. However, after exploring a lot of data science skills, in this article, I wanted to share five common data science skills that all Data Scientists should know.…
Imagine a big pile of data, what does that tell you? Data collections are expected to continue to grow day by day, as is the time to give once again. This leads to unsupervised data storage, which has two obvious…
Linear algebra is one of the most important topics in machine learning. In this article, I will introduce you to the basic concepts of linear algebra for machine learning using NumPy. Why Linear Algebra for Machine Learning? Machine learning and…
Machine learning in business problems finds its place in all aspects of IT, from social media to complex financial applications. Machine learning can be used to improve the customer experience, better manage and predict the outcomes of complex data, and…
In this article, I will take you through a very famous case study for machine learning practitioners which is to predict titanic survival with Machine Learning. I will first introduce you to this case study and then I will show…
In this article, I’m going to take you through an in-depth review of BERT in Machine Learning for word embeddings produced by Google for Machine Learning. Here I’ll show you how to get started with BERT in Machine Learning by…
If you have finished with most of the basics in Python and probably thinking about what’s next? Then it’s time to use your skills or analyse your skills by working on some python projects for beginners. In this article, I…
IDEs are very important for running your code with a better experience. An Integrated Development Environment (IDE) generally consists of a code editor, a compiler or an interpreter, and a debugger which is accessible through a single graphical user interface…
When analyzing and modelling data, a significant amount of time is spent preparing the data: loading, cleansing, transforming, and reorganizing. These tasks are often reported to take 80% or more of an analyst’s time. Sometimes the way data is stored…
Text Summarization involves condensing a piece of text into a shorter version, reducing the size of the original text while preserving key information and the meaning of the content. Since manual text synthesis is a long and generally laborious task,…
Web Scraping is a specialized tool designed to quickly and accurately extract data from any web page. Web scraping tools vary greatly in terms of design and complexity, depending on the project. The need for web scraping is to collect…
How quickly things change when you are in the age of machine learning and artificial intelligence. We have seen Cloud computing evolving from a risky and confusing system to a very important strategy that organizations, doesn’t matter large and small…
In Machine Learning, the Stemming process is widely used in tagging, indexing, SEO, web search results and information search. For example, the search for fish on Google will also result in fish, fishing as fish is the root of the…
In Machine Learning, a decision tree is a decision support tool that uses a graphical or tree model of decisions and their possible consequences, including the results of random events, resource costs, and utility. This is a way of displaying…
In this article, I will take you through, how you can visualize real-time stock price data with Python by using the Yahoo finance API known as yahoo_fin. I will use the Plotly package in python to visualize real-time stock price…
Detection of emotions means recognizing the emotional state of a person – for example, anger, confusion or deception on vocal and non-vocal channels. The most common technique analyzes the characteristics of the voice signal, with the use of words as…
Contact tracing is a process used by public health ministries to help stop the spread of infectious disease, such as COVID-19, within a community. In this article, I will take you through the task of contact tracing with Machine Learning.…
Today, Competitive Programming is more popular than ever. The Internet has played an important role in this progress. There is now an active online community of competitive programmers and there are many competitions that take place every week. At the…
The term hate speech is understood as any type of verbal, written or behavioural communication that attacks or uses derogatory or discriminatory language against a person or group based on what they are, in other words, based on their religion,…
PyTorch is a Python library that facilitates the creation of deep learning models. PyTorch is very flexible and easy to use for deep learning tasks. The accessibility and friendliness of early adopters in the years that followed its first publication,…
A bot is a software application programmed to perform certain tasks. The robots are automated, which means that they operate according to their instructions without a human user needing to start them. Bots often mimic or replace the behaviour of…
Bubble plots are better versions of the scatter plots, replacing the dots with bubbles. Most often, a bubble plot displays the values of three numeric variables, with the data for each observation represented by a circle (“bubble”), while the horizontal…
In this article, I’ll walk you through scraping Twitter with Python without API using the twint module, and I’ll also analyze some relationships based on followings and mentions among a group of Twitter users. One of the hot topics in…
In this article, you will learn how to create a unique password generator app using python in a few simple steps. I will first create a program to generate unique passwords. Next, I will show you how we can turn…
Deep learning is a subset of Artificial Intelligence, which is an area that relies on learning and improving on its own by examining computer algorithms. While machine learning uses simpler concepts, these models work with artificial neural networks, designed to…
Emotion detection involves recognizing a person’s emotional state – for example, anger, confusion, or deception on vocal and non-vocal channels. The most common technique analyzes the characteristics of the speech signal, with the use of words as additional input, if…
Text to speech is the generation of speech synthesized from the text. The technology is used to communicate with users when reading a screen is not possible or impractical. This not only opens up apps and information to use in…
In this article, I’ll walk you through how to create a fashion recommendation system with Machine Learning that will work like highly personalized online shopping recommendations. But before you go ahead, you need to know what a recommendation system is.…
Machine learning is fast becoming one of the most important developments in the software industry. Although this cutting edge technology has been around for decades, it is now becoming commercially viable. We are in an era where machine learning techniques…
Geospatial data shows a number of interesting features. Interactive visualization of geospatial data can provide a wealth of information about the data and area and much more functionality in the data. Python has so many packages to visualize geospatial data.…
Google Trends is a keyword research tool that helps the researchers, bloggers, digital marketers and some more people in the digital industry to find how often a keyword is entered into Google search engine over a given period. Google Trends…
One of the great advantages of being in the programming route is that you can work for yourself to earn money with programming. Unlike other businesses, you don’t need a good startup or a team, you just need a laptop…
To visualize the features of different categories we use bar charts which are a very simple way of presenting the features. But when we are having a lot of features in one category only then a bar chart will not…
If you are a newbie to data science and want to explore it for your first Data Science Project, then in this article I will introduce you to a beginner level data science task. Most of the recent growth in…
User interface (UI) is the point where a User Interacts with a Machine using Mouse, Keyboard, or even touch screens and other input sources. The goal of an effective user interface is to make the experience of a user very…
Sentiment analysis is the process by which all of the content can be quantified to represent the ideas, beliefs, and opinions of entire sectors of the audience. The implications of sentiment analysis are hard to underestimate to increase the productivity of…
Data science and data engineering are two different branches of big data paradigm – an approach in which enormous speeds, varieties and volumes of structured, unstructured and semi-structured data are captured, processed, stored and analyzed using a set of techniques…
Natural Language Processing (NLP) consists of developing applications and services capable of understanding human languages. Some practical examples of NLP are speech recognition, for example, Google voice search, understanding content or analyzing feelings, etc. Use of Natural Language Processing (NLP)…
The most likely way for attackers to gain access to your infrastructure is through the network. Network security is the general practice of protecting computer networks and devices accessible to the network against malicious intent, misuse and denial. In this…
No discussion of machine learning would be complete without a section devoted to Machine Learning Algorithms. Algorithms are a set of instructions for a computer on how to interact with, manipulate and transform data. What Are Machine Learning Algorithms? An…
Due to the affordable computing power and the importance of data in decision making Machine Learning in Finance is getting very useful to make financial and investment decisions with great accuracy. The use of Machine Learning in Finance is reshaping…
The LSTM Network model stands for Long Short Term Memory networks. These are a special kind of Neural Networks which are generally capable of understanding long term dependencies. LSTM model was generally designed to prevent the problems of long term…
The combined knowledge of statistics, data mining, and machine learning plays a major role in understanding the data and describing the data features to find the relationships and patterns between the data so that we can build a model for…
Wikipedia is one of those largest platforms which provides almost every information for free. From your kindergarten till today, you must have visited this platform atleast once to get any information from school presentations to professional research, Wikipedia helps everybody.…
Have you ever tried to translate any text using google, it’s straightforward and helpful to do so when I used to study the German Language google helped me alot in my homework. Do you know how Google does that? Google…
The role of Analytics in an Organisation has completely changed over the years. Earlier the higher-level officers and Board Members used to make the most decisions based on their experience and knowledge. But now the statistics and historical performance are…
Candlestick Chart is a powerful way to visualize the trends and changes in the stock market and other financial instruments. Most people use a Candlestick chart to visualize the trading patterns. This article will take you through how you can…
Stock Price Prediction means to determine the future value of the stocks or other financial instruments of an organisation. If you master the art to predict stock prices, you can earn a lot by investing and selling at the right…
Big Data is a type of data that is in a huge quantity and is still growing rapidly. It is so large and complex that it is impossible to manage it using the traditional ways of computing and to store…
The Classes in Python are the main tool used for Object-Oriented Programming (OOP). A Class is a coding structure and a specific tool to implement new kinds of objects in Python that supports inheritance. OOP offers a very different and…
Web Scraping means to collect data from the Internet. As a beginner in data science, you must have seen CSV files on the Internet distributed by some popular websites like Kaggle and other govt websites. The data is prepared by…
When most people hear Machine Learning, they picture a robot, a dependable butler or a deadly Terminator, depending on who you ask. But Machine Learning is not just a futuristic fantasy; it’s already here. It has been around for decades…
When you make an accurate prediction using your trained Machine Learning model, then the next step is often to measure the performance of your model. Data Scientists and other Machine Learning Experts spend a larger part to evaluate a Machine…
AdaBoost Algorithm is a boosting method that works by combining weak learners into strong learners. A good way for a prediction model to correct its predecessor is to give more attention to the training samples where the predecessor did not…
So I am a part of a WhatsApp group named as “Data Science Community”, recently I thought to explore the chat of this group and do some analysis on it. So, here in this article, I will take you through…
An Algorithm is a series of steps that helps in solving specific problems. Machine Learning Algorithms helps us in providing mathematical equations which help in predicting the future by using the past behaviour of the data. There is no algorithm…
Named Entity means anything that is a real-world object such as a person, a place, any organisation, any product which has a name. For example – “My name is Aman, and I and a Machine Learning Trainer”. In this sentence…
ARIMA model means Autoregressive Integrated Moving Average. This model provides a family of functions which are a very powerful and flexible to perform any task related to Time Series Forecasting. In Machine Learning ARIMA model is generally a class of…
Fraud is one of the major issues we come up majorly in banks, life insurance, health insurance, and many others. These major frauds are dependent on the person who is trying to sell you the fake product or service, if…
The Random Forest algorithm is an ensemble of the Decision Trees algorithm. A Decision Tree model is generally trained using the Bagging Classifier. If you don’t want to use a bagging classifier algorithm to pass it through the Decision Tree…
Have you ever faced problems in getting started with Data Science and Machine Learning? If you are doing a course from a very respective university still you face problems with lack of concepts and knowledge of the basics. So you…
Indeed, two people can never have the same fingerprints, it is unique in every human. But using fingerprints we can classify gender, whether it’s male or female. In this article, I will take you through a Gender Classification Model which…
In this article, I will show you, 5 Beginner, to Intermediate level Artificial Intelligence Projects. Artificial Intelligence consists of three main components, which are Data Science, Machine Learning, and Deep Learning. All the projects are solved and explained. If you…
Machine Learning and Artificial Intelligence are the most searched content on the Internet among the programmers coming from different programming languages. The popularity of Machine Learning has led to a lot of research that today we have even reached to…
In this article, I will show you 5 beginner level Machine Learning Projects for Beginners. All the projects are solved and explained. If you are new to Machine Learning and want to improve yourself more before getting into projects you…
A dictionary is an example of a key-value store also known as Mapping in Python. It allows you to store and retrieve elements by referencing a key. As dictionaries are referenced by key, they have very fast lookups. As they…
Have you ever got confused when you try to choose the best algorithm for a machine learning task? Suppose you are planning to buy a new car. Your planning is never going to be as short as moving to the…
Suppose you have trained a lot of classification models, and your each model is achieving the accuracy of 85 percent. A very simple way to create an even better classifier is to aggregate the predictions of each classifier and predict…
As one of the most basic functions in programming, loops are an important piece to nearly every programming language. Loops enable developers to set certain portions of their code to repeat through several loops, referred to as iterations. This topic…
You must have seen many articles and tutorials on web scraping. Even I have written an article on it. In this article, I will do something different, that is scraping Instagram with Python. It is an easy task until you…
The general goal of a classification model is to find a decision boundary. The purpose of the decision boundaries is to identify those regions of the input class space that corresponds to each class. In this article, I will take…
Data types are variables that are used to store values. In Python, variables do not need a pre declaration; the declaration of variables in Python happens automatically when we assign any value to a variable. Just like variables, data types…
Anomaly Detection means detecting unexpected events in the dataset which differ from the norm. Anomaly Detection is very often used in unlabeled data. There are two most important assumptions in the task of Anomaly Detection: the first assumption says that…
The Ridge Regression is a regularized version of a Linear Regression. The Ridge Regression enables the machine learning algorithms to not only fit the data but also to keep weights of the model as small as possible. It is quite…
Machine Translation is one of the most challenging tasks in Artificial Intelligence that works by investigating the use of software to translate a text or speech from one language to another. In this article, I will take you through Machine…
Audio Feature Extraction has been one of the significant focus of Machine Learning over the years. The most frequent common state of data is a text where we can perform feature extraction quite smoothly. Then we have Feature Extraction for…
What will you do if your data is a bit more complicated than a straight line? A good alternative for you is that you can use a linear model to fit in a nonlinear data. You can use the add…
Gradient Descent is an optimisation algorithm which is capable of providing optimal performance to a wide range of tasks in Machine Learning. The idea behind a Gradient Descent algorithm is to tweak the parameters using loops to minimize the cost…
The Receiver Operating Characteristic (ROC) curve is a popular tool used with binary classifiers. It is very similar to the precision/recall curve. Still, instead of plotting precision versus recall, the ROC curve plots the true positive rate (another name for…
In Machine Learning, Precision and Recall are the two most important metrics for Model Evaluation. Precision represents the percentage of the results of your model, which are relevant to your model. The recall represents the percentage total of total pertinent…
Testing and Validation are the only way to know how well a model will generalize to new cases is to actually try it out on new cases. One way to do that is to put your model in production and…
OpenAI Gym is a toolkit that provides a wide variety of simulated environments (Atari games, board games, 2D and 3D physical simulations, and so on), so you can train agents, compare them, or develop new Machine Learning algorithms (Reinforcement Learning).…
Image filtering is used to enhance the edges in images and reduce the noisiness of an image. This technology is used in almost all smartphones. Although improving an image using the image filtering techniques can help in the process of…
Data Visualisation plays a major role to study and analyse data to extract useful insights that can add value to our end task. Python being a universal language provides a lot of libraries for almost every task you have ever…
In this article I will take you through a Trading Strategy with Machine Learning, which can be used to determine when you should buy stocks and when you should sell. Generally it is not easy to predict stock market, but…
There are so many different types of Machine Learning systems that it is useful to classify them in broad categories, based on the following criteria: Whether or not they are trained with human supervision (supervised, unsupervised, semisupervised, and Reinforcement Learning)…
I recently shared an article on Audio Processing with Python. It was about how you can process and manipulate an audio file with Python. If you have gone through that, now you must know about how the basic stuff of…
In this article, I will take you through a brief explanation of Image Segmentation in Deep Learning. I will only explain the concept behind the image segmentation here in this article. If you want to go through the practical part…
Machine Learning is a Very Broad Field. If Machine Learning is a dish, then linear algebra, programming, analytical skills, statistics, and Algorithms are the primary recipes of Machine Learning. If you will go more deep inside the Machine Learning concepts,…
Sometimes, while doing programming, we need to go through some audio processing stuff. Some of the most used audio processing tasks in programming include – loading and saving audio files, splitting and appending the audio files into segments, creating mix…
Have you ever thought how Snapchat manage to apply amazing filters according to your face? It have been programmed to detect some marks on your face to project a filter according to those marks. In Machine Learning those marks are…
Being a practitioner in Machine Learning, you must have gone through an image classification, where the goal is to assign a label or a class to the input image. Now, suppose you want to get where the object is present…
Machine Learning Pipelines performs a complete workflow with an ordered sequence of the process involved in a Machine Learning task. In most of the functions in Machine Learning, the data that you work with is barely in a format for…
TensorBoard is a great interactive visualization tool that you can use to view the learning curves during training, compare learning curves between multiple runs, visualize the computation graphs, analyze training statistics, view images generated by your model, visualize complex multidimensional…
Where Binary Classification distinguish between two classes, Multiclass Classification or Multinomial Classification can distinguish between more than two classes. Some algorithms such as SGD classifiers, Random Forest Classifiers, and Naive Bayes classification are capable of handling multiple classes natively. Others…
Most of the keyboards in smartphones give next word prediction features; google also uses next word prediction based on our browsing history. So a preloaded data is also stored in the keyboard function of our smartphones to predict the next…
Data Augmentation is a technique in Deep Learning which helps in adding value to our base dataset by adding the gathered information from various sources to improve the quality of data of an organisation. Data Augmentation is one of the…
Binary Classification is a type of classification model that have two label of classes. For example an email spam detection model contains two label of classes as spam or not spam. Most of the times the tasks of binary classification…
You must have seen a cloud filled with words in a lot of Analysis tasks and machine learning projects. A WordCloud represents the importance of each word in a set of words by analyzing the frequency of terms. In this…
In this article you will learn to create databases, manipulate databases, and will also learn some operations on handling databases in MySQL with Python. You need to download and install MySQL from here, and after installing MySQL you also need…
Birds inspired us to fly, nature inspired us to countless inventions. It seems logical, then to look at the brain’s architecture for inspiration on how to build an Intelligent Machine. This is the logic that sparked Artificial Neural Networks (ANN).…
There are two main approaches to training models across multiple devices; model parallelism, where the model is split across the devices, and data parallelism, where the model is replicated across every device, and each replica is trained on a subset…
In this article I will show you how you can create your own dataset by Web Scraping using Python. Web Scraping means to extract a set of data from web. If you are a programmer, a Data Scientist, Engineer or…
An AI Chatbot is one of the most achieved goals in the field of Artificial Intelligence. Today Chatbot can help you in every way from assisting you to order something online to guide you through a Business Plan. Every Brand…
In this article, I will take you through a very powerful algorithm in Machine Learning, which is the Grid Search Algorithm. It is mostly used in hyperparameters tuning and models selection in Machine Learning. Here I will teach you how…
In this article, we will look at how to speed up your models by using a GPU. We will also see how to split the computations across multiple devices, including the CPU and numerous GPU devices. Thanks to GPUs, instead…
Natural Language Processing or NLP is a field of Artificial Intelligence which focuses on enabling the systems for understanding and processing the human languages. In this article, I will use NLP to analyze my WhatsApp Chats. For some privacy reasons,…
PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning. Python is a very flexible language for programming and just like python, the PyTorch library provides…
In Data Science, you must have seen people reading CSV files and excel files to work with the data, but what about a PDF. Python is a very high level language that is the reason it is mostly getting used…
Machine Learning has been an outstanding achievement in the field of Artificial Intelligence. The algorithms behind the success of Machine Learning are Deep Neural Networks which were made after research of years through the expert researchers. The only difficulties the…
If you want to deploy your TensorFlow model to a mobile or embedded device, a large model may take too long to download and use too much RAM and CPU, all of which will make your app unresponsive, heat the…
I have trained and developed a lot of Machine Learning models, if you are a student in Machine Learning, you must have also developed models. In this article, I will train and Deploy a Machine Learning Model using Flask step…
PySpark is the API of Python to support the framework of Apache Spark. Apache Spark is the component of Hadoop Ecosystem, which is now getting very popular with the big data frameworks. Apache Spark is a very powerful component which…
According to the report of Centers of Disease Control and Prevention about one in seven adults in the United States have Diabetes. But by next few years this rate can move higher. With this in mind today, In this article,…
Many clustering algorithms are available in Scikit-Learn and elsewhere, but perhaps the simplest to understand is an algorithm known as k-means clustering, which is implemented in sklearn.cluster.KMeans. Introduction The k-means algorithm searches for a pre-determined number of clusters within an unlabeled…
This article features the implementation of an employee turnover analysis that is built using Python’s Scikit-Learn library. In this article, I will use Logistic Regression and Random Forest Machine Learning algorithms. At the end of this article, you would be…
If you want to find out who are your best customers, using an old technique RFM matrix principle is still the best in the business. RFM means – Recency, Frequency and Monetary. RFM is basically a customer segmentation technique that…
Many Business activities are seasonal in nature, where most of the business are dependent on a particular time of festival and holidays. Every business uses sales promotion techniques to increase the demand for their products and services, in order to…
TensorFlow is a powerful library for numerical computation, particularly well suited and fine-tuned for large–scale Machine Learning ( but you could use it for anything else that requires heavy calculations). The Google Brain team developed it, and it powers many…
Reinforcement Learning (RL) is one of the most exciting fields of machine learning today. and also one the oldest. It has been around since the 1950s, producing many exciting applications over the years, particularly in games (e.g., TD-Gammon, a Backgammon-playing…
Merging Datasets is one of the most high-performance features, which is provided by pandas in Python. In this article, I will show how we can merge datasets in Python with the help of examples and real-world scenarios. For convenience, I…
Evaluating a model is simple enough to use a test set. But suppose you are hesitating in model selection between two types of models (say, a linear model and a polynomial model); how can you decide between them? One option…
There is a lot of difference between the data you get to practice data science skills and the data you get in the real world. Honestly speaking, many datasets you will get in the process of actual-world data science tasks…
This article is about description for those who need to know what is the actual difference between the dataset split between the Training and Test sets in Machine Learning while training and classifying models. What is Training Data? All the…
Rotating, re-orienting, or stretching the piece of paper in three-dimensional space doesn’t change the flat geometry of the article: such operations are akin to linear embeddings. If you bend, curl, or crumple the paper, it is still a two-dimensional manifold,…
In this article, you will explore what is perhaps one of the most broadly used of unsupervised algorithms, principal component analysis (PCA). PCA is fundamentally a dimensionality reduction algorithm, but it can also be useful as a tool for visualization,…
Below are some of the famous Data Science books that will help beginners explore more about Data Science and the experienced practitioners to gain more deep knowledge. I found these books really useful and highly recommended. Best Data Science Books…
Data Science and Data Analysis have been around a lot this year. For students who are looking for a long term career, both Data Science and Data Analysis jobs have been a good option for them. We will see this…
Decision Trees are versatile Machine Learning algorithms that can perform both classification and regression tasks, and even multi-output tasks. They are powerful algorithms, capable of fitting complex datasets. Decision trees are also the fundamental components of Random Forests, which are…
Support vector machines (SVMs) are a particularly powerful and flexible class of supervised algorithms for both classification and regression. In this article, I will develop the intuition behind support vector machines and their use in classification problems. I will begin…
In Machine Learning Naive Bayes models are a group of high-speed and simple classification algorithms that are often suitable for very high-dimensional datasets. Because they are so fast and have so few tunable parameters, they end up being very useful…
This Workflow can guide you through your Machine Learning Projects. There are eight main steps: Frame the problem and look at the big picture. Get the data. Explore the data to get insights. Prepare the data to better expose the…
What is a Neural Network Neural Network is a computational algorithm that is used in creating deep learning models for predictions and classifications. It is based on self-learning and training, rather than being explicitly programmed. Neural Networks are inspired by…
In the real world, data rarely comes in perfect form. With this in mind, one of the more critical steps in using machine learning in practice is Feature Engineering, that is, taking whatever information you have about your problem and turning…
Machine Learning interview questions are an essential part of an interview as a Data Scientist. Here I have created a set of Machine Learning interview question with there answers along. With these questions and solutions, you will be able to…
Before learning Seaborn, you should know that matplotlib has proven to be an incredibly useful and popular visualization tool, but even avid users will admit it often leaves much to be desired. There are several valid complaints about Matplotlib that…
I have covered a lot of ground so far, and you now know that Machine Learning is really about, why it is useful, what some of the most common categories of Machine Learning systems are, and what a typical project…
Let’s train and run a Linear regression model to make Predictions, In this article, I will load the data, prepare it, create a scatter plot for visualization, and then train a linear regression model to make a prediction. I will…
When most people hear Machine Learning, they picture a robot, a dependable butler or a deadly Terminator, depending on who you ask. But Machine Learning is not just a futuristic fantasy; it’s already here. It has been around for decades in…
One of the best things about the scikit-learn library in python is that it provides four steps modeling patterns that make it easy for the programmer to train a machine learning classifier. In this article, I will use Logistic Regression…
Time Series Analysis carries methods to research time-series statistics to extract statistical features from the data. Time Series Forecasting is used in training a Machine learning model to predict future values with the usage of historical importance. Time Series Analysis is broadly speaking used in training machine learning models for the Economy, Weather forecasting, stock price prediction, and additionally in Sales forecasting. It can be said that Time Series Analysis is widely used in facts based on non-stationary features. Time Series Analysis and…
If you are planning to start with Data Science, Machine Learning and AI, then determining the best programming language is not an easy task for you. If you will consider taking any advice from your seniors, then you might get…
Using the Folium Library in Python we can easily Plot Geographical data on a Map. Your analysis will be much more valuable if you visualized them the right way. A perfectly visualized data helps in drawing the changes and trends…
Skin Cancer is one of the most common types of disease in the United States. Up to 4 Million cases have been reported dead due to skin cancer in the United States over the year. In this article, I will…
If you know enough statistics, programming especially python, Machine Learning, etc, one thing you should know that still getting a job in Data Science is a difficult task. Some people may have the best skill set, but one thing that…
Using the HOG features of Machine Learning, we can build up a simple facial detection algorithm with any Image processing estimator, here we will use a linear support vector machine, and it’s steps are as follows: Obtain a set of…
In this article, you’ll learn how to create a bar chart race animation such as the one above using the matplotlib data visualization library in python. Bar chart races have been around for quite some time. This year, they’ve taken…
The Google Play Store apps data analysis provides enough potential to drive apps making businesses to succeed. Actionable stats can be drawn for developers to work on and capture the Android market. The data set that I have taken in…
This Article is about Data Science and Machine Learning with Python. You will also get to work on Hands-on Projects at the end of this Article. You can download Python from python.org. But if you don’t want to download Python,…
Spacecraft and satellites operating in deep space can generate huge amounts of data due to the complexity of their research missions. Because of the different rotations and orbits of their host planets, these massive data packets must be transmitted to…
Introduction to CNN Convolutional neural networks (CNN) are primarily used to classify images or identify pattern similarities between them. So a convolutional network receives a normal color image as a rectangular box whose width and height are measured by the…
Social Network Analysis is one of the important topics of Machine Learning. A basic step for social network analysis is to encode the data into low dimensional representations. Social networks have greatly facilitated communication between web users around the world.…
In this Article I will create a Linear Regression model and a Decision Tree Regression Model to Predict Google Stock Price using Machine Learning and Python. Download the data set Import pandas to import a CSV file: To get the…
Understanding GDP Gross domestic product (GDP) at current prices is the GDP at the market value of goods and services produced in a country during a year. In other words, GDP measures the monetary value of final goods and services…
Twitter Sentiment Analysis is the process of computationally identifying and categorizing tweets expressed in a piece of text, especially in order to determine whether the writer’s attitude towards a particular topic, product, etc. is positive, negative, or neutral. In this Article…
This Article is based on SMS Spam detection classification with Machine Learning. I will be using the multinomial Naive Bayes implementation. This particular classifier is suitable for classification with discrete features (such as in our case, word counts for text classification). It…
If you are a programmer, and moving towards Machine Learning and Artificial Intelligence, you should know that the algorithms of machine learning, deep learning and AI consumes a lot of power of a processor. For better results you should work…
Yolo v3 Object Detection in Tensorflow full tutorial What is Yolo? Yolo is a deep learning algorithm that uses convolutional neural networks for object detection.So what’s great about object detection? In comparison to recognition algorithms, a detection algorithm does not…
In this article, I will show how we can do Weather Forecasting with Machine Learning algorithm and compare some frameworks for further classification. Lets start this task by importing the libraries Download and read the data set To look at…
The term artificial intelligence stirs emotions. For one thing there is our fascination with intelligence, which seemingly imparts to us humans a special place among life forms. Questions arise such as What is intelligence?, How can one measure intelligence? or…