Python机器学习基础教程:数据+代码

ggnor
01-introduction.ipynb
02-supervised-learning.ipynb
03-unsupervised-learning.ipynb
04-representing-data-feature-engineering.ipynb
05-model-evaluation-and-improvement.ipynb
06-algorithm-chains-and-pipelines.ipynb
07-working-with-text-data.ipynb
08-conclusion.ipynb cover.jpg environment.yml preamble.py
README.md
data
images mglearn


introduction_to_ml_with_python-master