vanshhhhh/Hands-On-Machine-Learning
📒Implementation of all the machine learning algorithms like regression, classification, clustering etc.
This is a comprehensive resource for anyone learning machine learning concepts and implementations. It provides practical code examples for various algorithms, helping you understand how to process raw data, build models to predict outcomes or categorize data, and discover hidden patterns. Aspiring data scientists, machine learning engineers, or students in related fields will find this useful for hands-on practice.
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Use this if you are learning foundational machine learning algorithms and need clear, practical code examples to understand how they work from end to end.
Not ideal if you are looking for a plug-and-play solution for a specific business problem or a high-level library to deploy production-ready models without needing to understand the underlying code.
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Language
Jupyter Notebook
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Last pushed
Oct 01, 2021
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