## An-Introduction-to-Statistical-Learning

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

By __hardikkamboj__

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

By __hardikkamboj__

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 - [email protected]

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

- https://botlnec.github.io/islp/
- https://github.com/a-martyn/ISL-python
- https://github.com/mscaudill/IntroStatLearn