handsonml
Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.
What is handsonml?
Hands-on Machine Learning is a collection of Jupyter notebooks containing all example code and exercise solutions from the first edition of the book *Hands-on Machine Learning with Scikit-Learn and TensorFlow*. It provides a practical, interactive resource for learning machine learning fundamentals through implementation. The project covers topics from data preprocessing to neural networks with TensorFlow.
Beginners and intermediate learners who want to learn machine learning through practical coding exercises using Python, Scikit-Learn, and TensorFlow. Ideal for students, data scientists, and developers following the book.
Provides the complete hands-on companion to a popular machine learning book with executable code and verified solutions. Offers multiple deployment options including cloud notebooks and Docker for easy setup and reproducibility.
Overview
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Use Cases
Best For
- Learning machine learning fundamentals through practical coding examples
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