Working on Machine Learning projects is one of the best ways to improve your skills in solving Machine Learning problems. If you are an absolute beginner, you should work on projects that can introduce you to the fundamentals of Machine Learning and help you implement the steps required to solve Machine Learning problems. So, if you are looking for Machine Learning projects to work on as an absolute beginner, this article is for you. In this article, I’ll take you through a list of Machine Learning projects for absolute beginners you should try.
Machine Learning Projects for Beginners
Below is a list of Machine Learning projects for absolute beginners you should work on step by step.
Projects Based on Regression
Projects Based on Classification
- Ads Click-Through Rate Prediction
- Language Detection
- Iris Flower Classification
- Spam Comments Detection
- MNIST Digits Classification
- Online Payments Fraud Detection
- Loan Approval Prediction
- Credit Score Classification
- Consumer Complaint Classification
Projects Based on Clustering Analysis
Projects Based on Deep Learning
Projects Based on Recommendation Systems
Projects Based on Time Series
End-to-End Projects
These projects are a good start to practice your Machine Learning fundamentals. After completing these projects, you can move forward to solve advanced Machine Learning problems. You can find a list of Machine Learning projects to work on advanced problems from here.
Summary
Working on Machine Learning projects is one of the best ways to improve your skills in solving Machine Learning problems. If you are an absolute beginner, working on the above projects will introduce you to the fundamentals of Machine Learning and help you implement the steps required to solve Machine Learning problems.
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This is a great list for me as a person learning data science and trying to find a way to understand better. Would love more of such helpful tips.