## 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

python machine-learning datascience statistical-learning

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