Solutions to ISLR and beyond

While going through An Introduction to Statistical Learning with Applications in R (ISLR), I used R and Python to solve all the Applied Exercise questions in each chapter. As a result, I created a GitHub account and uploaded all my solutions there.

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Next I'm going to explore deep learning. After some research online, I found two good books on this topic: 

Deep Learning is universally regarded as THE book on this subject and it is free online here. This book focuses on the theory aspect. 

Deep Learning with Python is the second book. Its author created the Keras library in Python, so naturally it uses Keras. This book has a more balanced approach, mixing theory and actual practice. I went through all the examples in the book, fixed a couple of mistakes on the sample code, and posted all of them on my GitHub. I will also post key point summaries from the book on this blog.