leandromineti/ml-feynman-experience
A collection of analytics methods implemented with Python on Google Colab
This collection of Google Colab notebooks helps you understand core statistical and machine learning concepts by seeing them implemented from scratch. You input theoretical problems or datasets, and the notebooks provide step-by-step code implementations and explanations for foundational algorithms like linear regression and Markov chains. It's ideal for students, educators, or researchers who want to deeply grasp the underlying mechanics of these methods.
218 stars. No commits in the last 6 months.
Use this if you want to learn, teach, or verify your understanding of fundamental statistical and machine learning algorithms by seeing their mathematical principles translated into code.
Not ideal if you're looking for a ready-to-use tool to solve a specific business problem or apply advanced machine learning techniques out-of-the-box.
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MIT
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Last pushed
Mar 16, 2020
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