rickiepark/python-machine-learning-book-3rd-edition
<머신 러닝 교과서 3판>의 코드 저장소
This resource provides practical code examples for building machine learning and deep learning models using Python. It takes various forms of data (like text or images) as input and demonstrates how to process, train, and evaluate models to produce predictions or classifications. This is ideal for students, data scientists, and researchers looking to apply machine learning concepts.
130 stars. No commits in the last 6 months.
Use this if you are learning machine learning or deep learning and want hands-on Python code examples to understand and implement various algorithms.
Not ideal if you are looking for a pre-built, production-ready machine learning solution or a tool that doesn't require coding.
Stars
130
Forks
92
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 04, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/rickiepark/python-machine-learning-book-3rd-edition"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
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