csreddy98/Machine-Learning-From-Scratch
This project implements the machine learning algorithms from scratch and compares the implementation with sklearn.
This project helps those learning machine learning by providing understandable, 'from-scratch' implementations of core algorithms. It takes basic conceptual knowledge of machine learning and provides clear, working code examples. It's intended for students, aspiring data scientists, or anyone looking to deepen their understanding of how machine learning algorithms function under the hood.
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Use this if you are studying machine learning and want to see how algorithms like Linear Regression are built from fundamental programming blocks, without relying on pre-built libraries.
Not ideal if you need to apply machine learning models to solve real-world problems quickly or are looking for highly optimized, production-ready code.
Stars
7
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 13, 2022
Commits (30d)
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