wx-chevalier/MachineLearning-Notes
人工智能与深度学习实战 - 机器学习篇
This project helps anyone in business or research understand how to use vast amounts of data to make predictions or discover hidden patterns. It guides you through the process of applying machine learning algorithms to your data to automatically uncover insights or classify information, without needing to write complex, task-specific code. This is ideal for data analysts, business intelligence specialists, or researchers looking to leverage existing data for future forecasting or descriptive analysis.
Use this if you need to learn the core concepts and practical applications of machine learning to extract valuable insights from large datasets.
Not ideal if you are looking for a plug-and-play software tool rather than educational resources and conceptual frameworks.
Stars
12
Forks
3
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 15, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/wx-chevalier/MachineLearning-Notes"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
harvard-edge/cs249r_book
Machine Learning Systems
datawhalechina/key-book
《机器学习理论导引》(宝箱书)的证明、案例、概念补充与参考文献讲解。
wx-chevalier/AI-Notes
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics...
Ceyron/machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine...
rickiepark/handson-ml3
<핸즈온 머신러닝 3판>의 주피터 노트북 저장소