zotroneneis/machine_learning_basics
Plain python implementations of basic machine learning algorithms
This project helps developers understand how fundamental machine learning algorithms work by showing their inner workings. It provides plain Python code for algorithms like Linear Regression, k-Means, and Decision Trees, along with data preprocessing examples. Developers can examine these implementations to grasp the logic behind common predictive and clustering models.
4,409 stars. No commits in the last 6 months.
Use this if you are a developer learning machine learning and want to see how core algorithms are built from scratch, without relying on external libraries.
Not ideal if you need production-ready, highly optimized machine learning tools or libraries for immediate application.
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Jupyter Notebook
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MIT
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Last pushed
Jun 27, 2024
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