Seeking Hands-On Resources for Practical Implementation of Linear and Logistic Regression Algorithms

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification
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I recently completed the “Supervised Machine Learning: Regression and Classification” course, which has prompted me to seek hands-on experience to further enhance my understanding and practical skills in Linear and Logistic Regression algorithms. I would greatly appreciate any recommendations for resources that offer practical implementation exercises related to these topics. Additionally, if there are any specific programming exercises or projects available, I would be eager to try them out to reinforce my learning. Thank you in advance for your suggestions!

1 Like
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Try an internet search for “UCI Machine Learning Repository”. They have lots of free datasets that you can experiment with.

Also Kaggle has a lot of interesting tutorials and challenges.

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There is a project oriented course. Machine learning zoomcamp, it has youtube and github from which you can folllow along. Also jeremy howard is a good option as well