Update README.md

Author: shilpa9a

README.md

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 Whenever someone asks me “How to get started in data science?”, I usually recommend the book 📕 — [Introduction to Statistical Learning by Daniela Witten, Trevor Hastie, Gareth M. James, Robert Tibshirani](https://www.ime.unicamp.br/~dias/Intoduction%20to%20Statistical%20Learning.pdf), to learn the basics of statistics and machine learning models. 
 
-And understandably, completing a technical book while practicing it with relevant data and code is a challenge for lot of us. So, I created a concise version of the book as a course on statistical machine learning and python for data science.
+And understandably, completing a technical book while practicing it with relevant data and code is a challenge for lot of us. So, I created a concise version of the book as a course on statistical machine learning in python.
 
-In this repo, each chapter of the book has been translated into a [jupyter notebook](https://github.com/shilpa9a/Introduction_to_statistical_learning_Summary_Python/tree/master/notebook) with summary of the key concepts, data & python code to practice. So just clone the repo and get started! :woman_technologist: 
+In this repo, each chapter of the book has been translated into a [jupyter notebook](https://github.com/shilpa9a/Introduction_to_statistical_learning_Summary_Python/tree/master/notebook) with summary of the key concepts, data & python code to play with. 
+
+If you want to quickly understand the book, learn statistical machine learning or/and python for data science, then just clone the repo and get started! :woman_technologist:
 
 Expect to learn following concepts & their implementation in python: