anidec25/ML-Projects
All Classical Machine Learning Algorithms and respective Case Study for each algo type.
This project provides practical examples and explanations for various machine learning algorithms, helping you understand how to apply them to different real-world scenarios. It takes raw datasets and walks through the steps to build and evaluate predictive models or data groupings. This resource is ideal for data science students, aspiring machine learning practitioners, or anyone looking to solidify their understanding of core ML concepts through hands-on case studies.
No commits in the last 6 months.
Use this if you are learning classical machine learning algorithms and want to see how they are implemented and applied with concrete examples for each.
Not ideal if you are a seasoned machine learning engineer looking for advanced research or production-ready codebases.
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Jupyter Notebook
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Last pushed
Oct 29, 2023
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