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This repository contains implementations of classic machine learning algorithms written from scratch in Python, without relying on high-level libraries like Scikit-Learn or TensorFlow. The goal is to gain a deep understanding of ML fundamentals, mathematical concepts, and how algorithms work under the hood.

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ML_from_scratch

This repository contains implementations of classic machine learning algorithms written from scratch in Python, without relying on high-level libraries like Scikit-Learn or TensorFlow. The goal is to gain a deep understanding of ML fundamentals, mathematical concepts, and how algorithms work under the hood.

About

This repository contains implementations of classic machine learning algorithms written from scratch in Python, without relying on high-level libraries like Scikit-Learn or TensorFlow. The goal is to gain a deep understanding of ML fundamentals, mathematical concepts, and how algorithms work under the hood.

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