ethen8181/machine-learning
A collection of Jupyter notebook tutorials covering machine learning, deep learning, reinforcement learning, and related topics with implementations in Python.
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This repository is a continuously updated collection of machine learning tutorials presented in Jupyter Notebook format. The content balances mathematical foundations with practical implementations using Python scientific libraries including numpy, scipy, pandas, and scikit-learn. It covers deep learning frameworks such as PyTorch and Keras, reinforcement learning, model selection, clustering, recommendation systems, and other ML topics.
Frequently asked
- What is ethen8181/machine-learning?
- A collection of Jupyter notebook tutorials covering machine learning, deep learning, reinforcement learning, and related topics with implementations in Python.
- Is machine-learning open source?
- Yes — ethen8181/machine-learning is open source, released under the MIT license.
- What language is machine-learning written in?
- ethen8181/machine-learning is primarily written in HTML.
- How popular is machine-learning?
- ethen8181/machine-learning has 3.5k stars on GitHub.
- Where can I find machine-learning?
- ethen8181/machine-learning is on GitHub at https://github.com/ethen8181/machine-learning.