amueller/introduction_to_ml_with_python
A collection of Jupyter notebooks and helper code teaching machine learning using Python and scikit-learn.
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This repository provides the code and notebooks for the O’Reilly book Introduction to Machine Learning with Python by Andreas Mueller and Sarah Guido. It teaches fundamental ML concepts and techniques using scikit-learn, covering topics like model selection, cross-validation, and grid search. The repository includes the mglearn helper library for creating figures and datasets, along with all necessary datasets for running the examples.
Frequently asked
- What is amueller/introduction_to_ml_with_python?
- A collection of Jupyter notebooks and helper code teaching machine learning using Python and scikit-learn.
- Is introduction_to_ml_with_python open source?
- Yes — amueller/introduction_to_ml_with_python is an open-source project tracked on heatdrop.
- What language is introduction_to_ml_with_python written in?
- amueller/introduction_to_ml_with_python is primarily written in Jupyter Notebook.
- How popular is introduction_to_ml_with_python?
- amueller/introduction_to_ml_with_python has 8.1k stars on GitHub.
- Where can I find introduction_to_ml_with_python?
- amueller/introduction_to_ml_with_python is on GitHub at https://github.com/amueller/introduction_to_ml_with_python.