rasbt/machine-learning-book
Jupyter Notebook code examples accompanying the book 'Machine Learning with PyTorch and Scikit-Learn' covering ML fundamentals and deep learning.
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This repository provides the official code examples from a 770-page published book on machine learning. It covers foundational ML concepts including classification algorithms, regression, model evaluation, hyperparameter optimization, ensemble methods, and sentiment analysis. The notebooks demonstrate implementations using both scikit-learn for classical ML and PyTorch for deep learning neural networks. The content is structured as chapter-by-chapter walkthroughs designed to accompany the textbook.
Frequently asked
- What is rasbt/machine-learning-book?
- Jupyter Notebook code examples accompanying the book 'Machine Learning with PyTorch and Scikit-Learn' covering ML fundamentals and deep learning.
- Is machine-learning-book open source?
- Yes — rasbt/machine-learning-book is open source, released under the MIT license.
- What language is machine-learning-book written in?
- rasbt/machine-learning-book is primarily written in Jupyter Notebook.
- How popular is machine-learning-book?
- rasbt/machine-learning-book has 5.3k stars on GitHub.
- Where can I find machine-learning-book?
- rasbt/machine-learning-book is on GitHub at https://github.com/rasbt/machine-learning-book.