Statistical Learning with Python

(Aarhus Summer School)

Name		Name	Last commit message	Last commit date
00 Data Wrangling with Pandas.ipynb		00 Data Wrangling with Pandas.ipynb
01 Introduction to Statistical Learning.ipynb		01 Introduction to Statistical Learning.ipynb
02 Two Simple Methods for Prediction.ipynb		02 Two Simple Methods for Prediction.ipynb
03 Model Selection.ipynb		03 Model Selection.ipynb
04 Variable Selection and Regularisation.ipynb		04 Variable Selection and Regularisation.ipynb
05 Logistic Regression and Classification.ipynb		05 Logistic Regression and Classification.ipynb
06 Nonlinear Modelling.ipynb		06 Nonlinear Modelling.ipynb
07 Decision Trees and Random Forests.ipynb		07 Decision Trees and Random Forests.ipynb
08 Boosting.ipynb		08 Boosting.ipynb
09 Neural Networks (Classification).ipynb		09 Neural Networks (Classification).ipynb
09 Neural Networks (Regression).ipynb		09 Neural Networks (Regression).ipynb
A1 Ensemble Learning.ipynb		A1 Ensemble Learning.ipynb
A2 Making Submissions in the Kaggle Competition.ipynb		A2 Making Submissions in the Kaggle Competition.ipynb
README.md		README.md

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