# hardikkamboj/An-Introduction-to-Statistical-Learning

This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.

repo name | hardikkamboj/An-Introduction-to-Statistical-Learning |

repo link | https://github.com/hardikkamboj/An-Introduction-to-Statistical-Learning |

homepage | |

language | Jupyter Notebook |

size (curr.) | 20562 kB |

stars (curr.) | 759 |

created | 2020-06-13 |

license | |

# An-Introduction-to-Statistical-Learning

This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning

An-Introduction-to-Statistical-Learning is one of the most popular books among data scientists to learn the conepts and intuitions behind machine learning algorithms, however, the exercises are implemented in R language, which is a hinderence for all those who are using python language. To overcome this i have tried solving all the questions in practical exerices in Python language, so people using python language can also get the most our of this amazing book. Along with that i have also provided the solutions for conceptual questions. I had tried my best to write the correct solutions to the problem, It was a challenge, and i need to learn to do a lot of research. I do not gurantee that all the solutions are absoletely correct. I have commented the notebooks. If you find any query, do send a feedback about the same. Suggestions and corrections are welcome. this is my email - hardikkamboj1@gmail.com Happy Learning!

## An Introduction to Statistical Learning

- Chapter_2_Statistical_Learning
- Chapter_3_Linear_Regression
- Chapter_4_Classification
- Chapter_5_Resampling_Methods
- Chapter_6_Linear_Model_Selection_and_Regularization
- Chapter_7_Moving_Beyond_Linearity
- Chapter_8_Tree_Based_Methods
- Chapter_9_Support_Vector_Machines
- Chapter_10_Unsupervised_Learning

REFERENCES