elcaiseri/Machine-Learning-from-Scratch
Machine Learning using NumPy
This is a learning resource for developers who want to understand how fundamental machine learning algorithms work internally. It provides code examples of classic algorithms, built from the ground up using only NumPy, allowing you to trace their mathematical operations. Python developers and data scientists looking to deepen their grasp of ML foundations would use this.
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Use this if you are a Python developer or data scientist who wants to learn the mathematical foundations and inner workings of machine learning algorithms by examining their raw implementations.
Not ideal if you need a production-ready machine learning library for building applications or solving real-world problems efficiently.
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Python
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Last pushed
Jul 27, 2023
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