hands-on_ML

机器学习实战：基于Scikit-Learn、Keras和TensorFlow：原书第2版

代码主要参考原书代码仓库：https://github.com/ageron/handson-ml2 和另一个代码仓库：https://github.com/DeqianBai/Hands-on-Machine-Learning 自己更多是学习，对其中涉及的内容进行理解补充和注释

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
datasets		datasets
housing_prices_scatterplot		housing_prices_scatterplot
images		images
version1		version1
.gitignore		.gitignore
05_Support Vector Machines.ipynb		05_Support Vector Machines.ipynb
06_Decision Trees.ipynb		06_Decision Trees.ipynb
08_Exercise solutions(9-10).ipynb		08_Exercise solutions(9-10).ipynb
08_Extra Material – Clustering.ipynb		08_Extra Material – Clustering.ipynb
09_unsupervised_learning.ipynb		09_unsupervised_learning.ipynb
10_neural_nets_with_keras.ipynb		10_neural_nets_with_keras.ipynb
README.md		README.md
ch01_机器学习概览.ipynb		ch01_机器学习概览.ipynb
ch02_端到端的机器学习项目.ipynb		ch02_端到端的机器学习项目.ipynb
ch03_分类.ipynb		ch03_分类.ipynb
ch03_练习题3_4.ipynb		ch03_练习题3_4.ipynb
ch04_训练模型.ipynb		ch04_训练模型.ipynb
ch07_拓展1_GBDT.ipynb		ch07_拓展1_GBDT.ipynb
ch07_拓展1_LightGBM.ipynb		ch07_拓展1_LightGBM.ipynb
ch07_拓展2_Xgboost.ipynb		ch07_拓展2_Xgboost.ipynb
ch07_集成学习和随机森林.ipynb		ch07_集成学习和随机森林.ipynb
ch08_降维_Dimensionality_Reduction.ipynb		ch08_降维_Dimensionality_Reduction.ipynb
tensorflow_graph_in_jupyter.py		tensorflow_graph_in_jupyter.py

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