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My ML Resources

If this repository helps you in anyway, show your love ❤️ by putting a ⭐ on this project ✌️

First of all don't get overwhelmed by the content you see in this repository,you won't be using all of this in your life but definetly you can refer to bits and pieces of it when you need it for interviews or want to have review of some topic.

The Folder contains two sub-folders of books and notes, cheatsheets and interview guides.

If you want to learn by watching videos that is in form of courses or youtube videos please check these links:

Machine learning by Andrew Ng: https://www.coursera.org/learn/machine-learning

Deep learning specialization by Andrew Ng: https://www.coursera.org/specializations/deep-learning

The above two courses are the best for beginners but by simply doing this you can't directly jump to research or expect a industry level oppurtunity. These courses lay the foundation for you and you have to build your own skills on top of that.

If you want courses in an applied way then do check this out:-

Machine learning by code basics :- https://youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw

Deep learning by code basics :- https://youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO

Whatever you learn from these resources, make sure that you are applying it either on projects or in kaggle.Kaggle is a great platform to test your knowledege,learn from others and enrich your skills. You will have plethora of Notebooks available on kaggle which are written by industry experts and researchers.

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