zimingttkx/AI-Practices
🎓 机器学习与深度学习实战教程 | Comprehensive ML & DL Tutorial with Jupyter Notebooks | 包含线性回归、神经网络、CNN、RNN等完整教程
This project offers a complete, hands-on learning platform for artificial intelligence, machine learning, and deep learning. It guides you from foundational math to advanced techniques through interactive notebooks and practical examples. Whether you're a data scientist, AI researcher, or machine learning engineer, you can learn to build and deploy complex AI systems.
386 stars.
Use this if you want a structured curriculum to learn and practice AI concepts, from basic machine learning models to large language models and multi-agent systems, complete with production-grade code and real-world project solutions.
Not ideal if you are looking for a plug-and-play AI solution or an API to integrate into an existing application without diving into the underlying theory and implementation details.
Stars
386
Forks
62
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
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