DingKe/ml-tutorial
machine learning algorithms and implementations
This project offers practical examples and implementations of various machine learning algorithms. It helps those learning or applying machine learning concepts by providing a clear understanding of how these algorithms work and are put into practice. The primary users are students, researchers, or practitioners seeking to understand or implement core machine learning techniques.
116 stars. No commits in the last 6 months.
Use this if you are studying or applying machine learning and need concrete examples of how algorithms like K-Means, GMM, or Gaussian Process Regression are implemented.
Not ideal if you are looking for a high-level library to simply apply pre-built models without diving into the underlying implementation details.
Stars
116
Forks
46
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 03, 2018
Commits (30d)
0
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