the-elements-of-statistical-learning

This repository contains the Python code to execute the exercises contained in the book "The Elements of Statistical Elements" by Hastie, Tibshirani, Friedman

Name		Name	Last commit message	Last commit date
Latest commit History 36 Commits
.gitignore		.gitignore
01_LinearRegression.ipynb		01_LinearRegression.ipynb
02_LogisticRegression.ipynb		02_LogisticRegression.ipynb
03_RandomForestForClassification.ipynb		03_RandomForestForClassification.ipynb
04_ADABoostClassifier.ipynb		04_ADABoostClassifier.ipynb
05_XGBoostClassifier.ipynb		05_XGBoostClassifier.ipynb
06_Unsupervised_PCA_KMeans.ipynb		06_Unsupervised_PCA_KMeans.ipynb
07_Unsupervised_PCA_DBScan.ipynb		07_Unsupervised_PCA_DBScan.ipynb
08_NeuralNetworksBasics.ipynb		08_NeuralNetworksBasics.ipynb
09_DeepLearning_Keras_GridSearchCV.ipynb		09_DeepLearning_Keras_GridSearchCV.ipynb
10_SimpleTradingStrategy.ipynb		10_SimpleTradingStrategy.ipynb
11_CreditRiskScorecards_AlgoComparisons.ipynb		11_CreditRiskScorecards_AlgoComparisons.ipynb
12_AndrewAzizNoiseAreaTradingStrategy.ipynb		12_AndrewAzizNoiseAreaTradingStrategy.ipynb
Heart.txt		Heart.txt
Marketing.txt		Marketing.txt
Modules.py		Modules.py
Prostate.txt		Prostate.txt
README.md		README.md
RunWoEBackground.py		RunWoEBackground.py

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