AwesomeML-algo-book

A book where you can find all type definition and information about ml algorithms. I gather the information from stack overflow,scikit-learn and other creative commons sources.Countributions welcome.

The book can be found here: https://sparkingdebo.gitbook.io/awesome-ml-book/

Introduction

Machine learning is currently on the trend and a awesome technology , which solves many problem. Now these days many people want to learn and learning the ml. So making their learning easy and also making a open source encyclopedia of machine learning algorithms , I created this project.

Book structure

The structure I am thinking is pretty straight forward , for a algorithm a separate page. That's way we can create a very clear and valuable information book where anyone can find information regarding the algorithms.

List Of Algorithms

• Linear Regression
• Logistic Regression
• K means Clustering
• Ridge Regression

Interesting Github repo list: github repos and gitbooks

Reference & Open source Github repo used:

• https://github.com/trekhleb/homemade-machine-learning
• https://github.com/scikit-learn/scikit-learn

How to be a contributor?

As it's a open source project,open source contributions are openly welcome.If you have an idea of a algorithm please open a issue or a pr at https://github.com/sparkingdark/AwesomeML-algo-book .