www5226448/Master-Machine-Learning
Implement common statistical machine learning algorithms with raw Numpy.
This project helps machine learning practitioners understand the foundational mathematical concepts behind common statistical algorithms. It takes raw data and applies various machine learning models like linear regression, decision trees, or k-Nearest Neighbors. It's designed for data scientists, machine learning engineers, or students who want to delve into the underlying mechanics of these algorithms.
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Use this if you are a machine learning developer or student who wants to learn how common statistical algorithms work from first principles.
Not ideal if you need a high-level library to quickly apply machine learning models to solve a business problem without understanding the implementation details.
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16
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3
Language
Jupyter Notebook
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Last pushed
Jun 30, 2020
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