Glad to see you back here! It's been a long time since we have written a piece of code and document them here after completing Pandas_book ← hah, I like that.
This is a quick welcome guide in the shortest word possible to get you fimiliar with what this is all about. Because you know, you may come here after a long time and it will be easier for you to figure out how to approach this whole section.
This repository is not intended to be like a page-by-page documenting things like I did in Pandas_book. But this time the thing is little different.
Here as the book suggests... wait, which book is it?
presenting
So, this book is all about HOW THE ALGORITHMS are built, in the simplest language — man! I needed this. It is the book in which we can see the working algorithm from the line by line perspective. I have used the algos but never knew HOW. Now it is the chance that I can get fimiliar with those algos.
continuing... This book it self has very intuative and simple wordings that I might not have to explain them here. But to keep things handy and for the sake of tried-out-myself, I am developing this repository so that you can refer to any algoritham whenever you want.
This repository is easy to nevigate. I have not written any simple things and explanations like what regression is... but I have included my comments on the process in the book itself.
Here I will be providing the codes in Python. Of course.
Let's have fun and get confident with ML! Aayush ∞ Shah