mllearn's Introduction

Introduction

Hello guys, the goal of this repo is to collect and share all the material that will be usefull for the people who are just starting learning Machine Learning. Here we will be also creating the notes for particular course and also provide extra information on a particular topic if needed.

The current structure of the project

assets (this is the global assets folder that is used for the main README file)
course_name
  |
  |--------> notes (Contain all the notes for this particular course)
  |           |--------> week1
  |           |--------> ...
  |           |--------> weekN
  |--------> assets (Contain all the images that are used in this course notes)
  |--------> README.md (Details about the course and links for the topics discussed)

ML Learning Track

Here are all the courses and resources that we will be using and also we will update it from time to time. We are going to use python.

The external resources mentioned are only for learning purposes and we do not own copyrights for the material.

Machine Learning by Andrew Ng - Coursera | Notes

Contributers

If you are contributing first time please add your github avatar and link your github account on that.

mllearn's People

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mllearn's Issues

Make the project readme better

Make the home readme file look better and add more details if possible.

Write a simple and elobrated explaination for the process for generating a hypothesis function diagram.

In the Coursera-ML-AndrewNg/notes/4_modal_representation.md there is a diagram that shows how a hypothesis function work we need to explain that diagram and write some details about that.