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Introduction to Statistical Learning with Application in R[This repo converts the lab solutions and exercise in python]

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Introduction to Statistical Learning in Python

This repo use Python to re-produce the lab results from the book Introduction to Statistical Learning with Application in R wittern by James, Witten, Hastie and Tibshirani.
It also includes the exercise solutions in Python3

Book Image: image

  • Logistic Regerssion
  • Linear Discrimnant Analysis
  • Quadratic Discrimnant Analysis
  • KNN
  • Cross Validation
  • Bootstrap
  • Best subset selection
  • Cross Valiation
  • Ridge/Lasso Regression
  • Principal Components Rregression
  • Partial Least Squares
  • Polynomial Regression and Step Function
  • Splines
  • GAMs
  • Decision Trees
  • Bagging and Random Forests
  • Boosting
  • Support Vector Classifier
  • Support Vectir Machine
  • SVM with Multiple Classes
  • PCA
  • Cluster Methods

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