carefree0910/MachineLearning
Machine learning algorithms implemented by pure numpy
This project offers fundamental machine learning algorithms built from scratch, primarily for those learning the underlying mechanics. It takes in raw numerical data, like spreadsheets or datasets, and helps you apply core machine learning models such as neural networks and support vector machines to understand how they work internally. It's designed for students or educators in data science and machine learning.
1,092 stars. No commits in the last 6 months.
Use this if you are studying machine learning and want to see the foundational algorithms implemented in a clear, step-by-step manner without relying on complex, high-level libraries.
Not ideal if you need a robust, production-ready machine learning library for real-world data analysis or application development.
Stars
1,092
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718
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 17, 2023
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