M
Machine-Learning
Jack-Cherish/Machine-Learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
★10.4kstars
Python
Updated: Today
📋 Project at a Glance
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What's this?A adaboost/adaboost-algorithm tool in the Learning & Resources category, built with Python, open-source
Who made it?Maintained by Jack-Cherish team, 10.4K⭐ on GitHub, #251 out of 3640 in Learning & Resources
Why does it exist?With the growing demand for adaboost and adaboost-algorithm in Learning & Resources, Jack-Cherish created Machine-Learning as a streamlined solution.
What can it do?Key use cases: decision-tree, knn, logistic
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/Jack-Cherish/Machine-Learning | 官网 https://cuijiahua.com/blog/ml/
🔗 github.com/Jack-Cherish/Machine-Learning | 官网 https://cuijiahua.com/blog/ml/
Topics
adaboostadaboost-algorithmdecision-treeknnlogisticmachine-learningnavie-bayes-algorithmpythonpython3regressionsmosvm