kyopark2014/ML-Algorithms
It summerizes the algorithms of Machine Learning.
This resource provides a comprehensive guide to understanding and applying machine learning algorithms. It covers everything from preparing your data, selecting the right features, to implementing various supervised and unsupervised learning models. Individuals looking to build predictive models or extract insights from complex datasets will find this useful.
Use this if you are a data scientist, analyst, or engineer who wants to learn the fundamental concepts and practical applications of machine learning to solve real-world problems.
Not ideal if you are looking for a plug-and-play solution or a high-level overview without technical details.
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Jupyter Notebook
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Last pushed
Oct 26, 2025
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