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| # [An-Introduction-to-Statistical-Learning](http://faculty.marshall.usc.edu/gareth-james/ISL/) | ||
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| This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning | ||
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| 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 | ||
| 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! | ||
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| ## An Introduction to Statistical Learning | ||
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| - [Chapter_2_Statistical_Learning](/Chapter_2/) | ||
| - [Chapter_3_Linear_Regression](/Chapter_3/) | ||
| - [Chapter_4_Classification](/Chapter_4/) | ||
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@@ -25,8 +26,10 @@ This repository contains the exercises and its solution contained in the book An | |
| - [Chapter_9_Support_Vector_Machines](/Chapter_9/) | ||
| - [Chapter_10_Unsupervised_Learning](/Chapter_10/) | ||
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| [<img height="31" src="https://beta.deepnote.com/buttons/launch-in-deepnote.svg">](https://deepnote.com/launch?template=deepnote&url=https%3A%2F%2Fgithub.com%2Fhardikkamboj%2FAn-Introduction-to-Statistical-Learning%2Fblob%2Fmaster%2FChapter_2%2FApplied%2520Questions.ipynb) | ||
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| REFERENCES | ||
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| REFERENCES - | ||
| [https://botlnec.github.io/islp/] | ||
| [https://github.com/a-martyn/ISL-python] | ||
| [https://github.com/mscaudill/IntroStatLearn] | ||
| - https://botlnec.github.io/islp/ | ||
| - https://github.com/a-martyn/ISL-python | ||
| - https://github.com/mscaudill/IntroStatLearn | ||