rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
This repository provides code examples and Jupyter notebooks to help practitioners understand and apply various machine learning algorithms. It covers topics from data preprocessing to deep learning with TensorFlow, using Python. Data scientists, machine learning engineers, and researchers can use this to follow along with the concepts in the "Python Machine Learning, 2nd Ed." book.
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Use this if you are reading the "Python Machine Learning, 2nd Ed." book and want to interact with the code examples and exercises described in each chapter.
Not ideal if you are looking for a standalone machine learning library or a general-purpose Python project, as these materials are highly dependent on the accompanying book's explanations.
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