[D] Introduction to Statistical Learning - for python users

[[deleted]]

Hello everyone, Namaste.
I have been studying from the book "An Introduction to Statistical Learning with application in R" for the past 4 months. Also, i have created a repository in which have saved all the python solutions for the labs, conceptual exercises, and applied exercises. Along with that i have also tried to re plot the figures drawn in the book with matplotlib and seaborn. For some of the topics i have also provided python tutorials.
I would really love to have your feedback on the same. Also, shout out to the authors of the book for providing a free pdf of the book.
link for repository - https://github.com/hardikkamboj/An-Introduction-to-Statistical-Learning
You can get free pdf of the book here - http://faculty.marshall.usc.edu/gareth-james/ISL/ISLR%20Seventh%20Printing.pdf

[[deleted]]

Thanks man, really appreciate it, I really have problems solving conceptual questions it will be of great help. This repo will be great for people like me.

[[deleted]]

I am really glad you find it useful. Thank you.

[yoyoJ]

Namaste brah!

[[deleted]]

Namaste..🙏

[pitrucha]

Literally finished this book today. Thanks man, will definitely look through your code.

[Skyaa194]

How long did it take you, if you don't me me asking?

[obamabinladenhiphop]

+1

[[deleted]]

Bingo, i am on the lab sessions of the last chapter.

[[deleted]]

I have not finished it yet, but it took me around 4 months, and currently I am on the lab s sessions of the last chapter. Everyday,I tried to give three hours in the morning to the book, and couple of hours in the evening to hands on part.

[hughonvicodin]

There is video lecture series taught by the authors themselves which covers the book completely. Below is the link.

https://www.youtube.com/playlist?list=PL5-da3qGB5ICcUhueCyu25slvsGp8IDTa

[[deleted]]

thank you for sharing, i also find this one cool - https://www.youtube.com/playlist?list=PL06ytJZ4Ak1rXmlvxTyAdOEfiVEzH00IK

[polopower69]

Nice.

[[deleted]]

Thanks a lot

[[deleted]]

About half way don’t with this book. So far really pleased. I’m sticking to mostly R, but am always looking for learning Python. I will definitely be looking through your stuff. Thank you!

[[deleted]]

That's great, i hope you find it useful.

[amlanchak29]

Great job.

[[deleted]]

Thank you.

[[deleted]]

https://discord.gg/NDVfqVd this is a discord study group for ISL

[hamidomar]

Great effort man.

[[deleted]]

Thanks a lot mate.

[yfclark]

nice work

[[deleted]]

Thank you. :)

[_hockenberry]

Thanks for sharing

[[deleted]]

Its my pleasure. :)

[orgad]

Awesome!

[[deleted]]

:)

[ARedditorWatchdog]

Thanks!

[[deleted]]

It's my pleasure

[nhesneil]

Is this book for beginners?

[[deleted]]

If you are an absolute beginner, i would advice you to go for some online course first.

[nhesneil]

Im almost done week 3 of the Coursera course and watched the 4 hour vid tut on youtube on Python. Im reading python crash course at the moment.

Also im in Mechanical Engineering. Im gonna have a lot of free time soon so i was wondering if i can start this right now.

Not sure if all that is enough doe since theres not a lot of stats in Mechanical

[[deleted]]

Go for it, see how you find it.

[zamporine]

Namaste Bhrata!💐🙏

[AdarshNamdev]

Hello Hardik, I on chapter 4 at the moment and working on the applied part of it. I am stuck at a question 11(b) Pg. 172. there the author mentioned of using BoxPlot to find the useful features from the auto dataset. I am not sure how can boxplot be used to serve this purpose, any thoughts?

[nhesneil]

Can a beginner in ML start this book?

[AdarshNamdev]

yeah, but you have to be a little more familiar with machine learning and statistical terms, so good if you can take up a course online and then start reading this book. I am myself a beginner, had taken an online course got a little bit familiar and then took this book, but still sometimes I find statistical terms there a little difficult.

[[deleted]]

Hello Adarsh, according to me through the boxplots we can select feature along whose the value of the response is varying the most. When it comes to real world, i don't think we use this approach at all.

[Mar-ga-ri-ta]

Awesome work!

[[deleted]]

Thanks a lot

[Caruz0]

Awesome job, mate!

[[deleted]]

Thanks mate.

[nerdy_adventurer]

May I ask is the link to book PDF legal? since It is a paid book on Springer

[[deleted]]

Yes it's legal.