zimingttkx/AI-Practices
A systematic machine learning and deep learning tutorial platform with 280+ Jupyter Notebooks covering linear regression, CNN, RNN, and neural networks.
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The repository provides a comprehensive ML and deep learning learning platform with 500+ Python files and 280+ interactive Jupyter Notebooks across 14 core modules. It covers foundational topics like linear regression, SVM, and decision trees, progressing through neural networks, CNNs, and RNNs. The curriculum combines mathematical principles with production-grade code implementations, includes 100+ unit tests for quality assurance, and features Kaggle competition solutions.
Frequently asked
- What is zimingttkx/AI-Practices?
- A systematic machine learning and deep learning tutorial platform with 280+ Jupyter Notebooks covering linear regression, CNN, RNN, and neural networks.
- Is AI-Practices open source?
- Yes — zimingttkx/AI-Practices is open source, released under the MIT license.
- What language is AI-Practices written in?
- zimingttkx/AI-Practices is primarily written in Jupyter Notebook.
- How popular is AI-Practices?
- zimingttkx/AI-Practices has 452 stars on GitHub.
- Where can I find AI-Practices?
- zimingttkx/AI-Practices is on GitHub at https://github.com/zimingttkx/AI-Practices.