Principles-of-Machine-Learning-Python

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Principles of Machine Learning Python

Python 机器学习原理

1. IntroductionToMachineLearning
2. VisualizingDataForClassification
3. VisualizingDataForRegression
4. DataPreparation
5. IntroductionToRegression
6. ApplyingLinearRegression
7. Classification
8. FeatureSelection
9. DimensionalityReduction
10. Bias-Variance-Trade-Off
11. CrossValidation
12. NaiveBayes
13. SupportVectorMachines
14. Bagging
15. Boosting
16. NeuralNetworks
17. IntroToUnsupervisedLearning
18. ApplicationOfClustering