PacktPublishing/Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits
The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr
This repository provides practical code examples for anyone looking to implement machine learning solutions using Python. It guides you through using various datasets to build, evaluate, and deploy models that can classify, predict, or find patterns in your data. It's designed for data scientists and analysts eager to apply machine learning to real-world problems.
140 stars.
Use this if you want to learn how to apply supervised and unsupervised machine learning algorithms using Python to solve business or research challenges.
Not ideal if you are a complete beginner to Python programming or lack a basic understanding of statistical and mathematical concepts.
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Mar 12, 2026
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