RayDean/MachineLearning
【火炉炼AI】-机器学习系列文章
This resource provides comprehensive articles and accompanying code examples for individuals looking to understand and apply machine learning concepts. It helps practitioners learn how to implement various machine learning models by providing both theoretical explanations and practical code. Aspiring data scientists, AI engineers, and anyone interested in practical machine learning would find this useful.
210 stars. No commits in the last 6 months.
Use this if you want to learn machine learning through a combination of detailed articles and hands-on code examples.
Not ideal if you are looking for a plug-and-play machine learning library for immediate production use without much learning.
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Jupyter Notebook
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Last pushed
Apr 13, 2019
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