LiangjunFeng/Machine-Learning
Basic algorithms about machine learnig
This is a collection of fundamental machine learning algorithms implemented from scratch. It takes in various datasets, such as medical records or sound files, and applies different analytical models to produce predictions, classifications, or data groupings. Data scientists, researchers, or students learning machine learning concepts would find this useful for understanding how these algorithms work.
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Use this if you are a data scientist, researcher, or student who wants to understand and experiment with the core mechanics of machine learning algorithms on diverse datasets.
Not ideal if you need a production-ready, highly optimized, or extensively documented machine learning library for immediate application in a business setting.
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50
Forks
37
Language
Python
License
MIT
Category
Last pushed
Oct 14, 2020
Commits (30d)
0
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