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

Last update: Jan 2, 2023

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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

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Comments

Add Deepnote link

Hey there, I saw your reddit post, you compiled a great learning resource! :)

I work at Deepnote where we're trying to make data science more approachable. Clicking the button I added to readme opens a notebook where you can readily execute all of the notebooks. Would you like to add it?

opened by robertlacok 1
Proportion of Students is Wrong

Hi, loving this repo by the way! Thank you.

I saw based on the question, I believe your script here is not taking the proportion.

It should be:

df['Elite'] = np.where((df.Top10perc/df.Enroll) > .50, 1, 0)

opened by theeugenekim 0
Ch2 Conceptual Questions - Ex 7(d)'s answer is wrong?

In the Conceptual Questions, is the exercise 7(d) 's answer wrong? According to Page 41, Figure 2.6 shows that lower K can fit highly non-linear boundary. So the correct anwser should be small, shouldn't it?

I'm new to ML, maybe I'm wrong, but that's my question.

opened by chenyulue 1

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

Related tags

Overview

An-Introduction-to-Statistical-Learning

An Introduction to Statistical Learning

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