duongttr/mllib-from-scratch
Building a Machine Learning Library from scratch using Python3, based on SOTA library Scikit-learn
This project offers a clear, Python-only implementation of various machine learning algorithms, like Logistic Regression for classification or K-Means for clustering. It takes raw data and processes it using foundational techniques, providing insights into how these algorithms work internally. It's ideal for students, educators, or anyone looking to deepen their theoretical understanding of machine learning principles.
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Use this if you are a student or educator wanting to understand the underlying mechanics of popular machine learning algorithms by seeing them built from scratch.
Not ideal if you need a robust, production-ready machine learning library for real-world data analysis or application development.
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15
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Language
Python
License
Apache-2.0
Category
Last pushed
Jan 20, 2023
Commits (30d)
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