eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
This project offers clear, fundamental implementations of machine learning models using basic Python and NumPy. It helps aspiring machine learning practitioners or students understand how algorithms like polynomial regression, image classification, or data clustering work under the hood. You provide data, and the models show how they learn patterns, make predictions, or group similar items.
31,023 stars. No commits in the last 6 months.
Use this if you are learning machine learning and want to see the core math and logic behind various algorithms implemented in an easy-to-understand way, without relying on complex libraries.
Not ideal if you need highly optimized, production-ready machine learning models for real-world applications or large datasets, as efficiency is not its primary goal.
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Python
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MIT
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Last pushed
Oct 15, 2023
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