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Complete Roadmap for Machine Learning || Noob to Advanced || ML 2020



Love Babbar

This video is the one of the most awaited video on our channel. It consists of a complete path or guidance of how/what/when/where to study the stuff for a Coding Stream Student in order to have good hands on Machine Learning.
It consists of a complete and Ideal strategy that a student should follow in order to get the most.

Be Positive, Be Strong…

Resources:
MIT OpencourseWare Linear Algebra: https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/
3Blue1Brown Linear Algebra: https://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Rachel Thomas Linear Algebra: https://www.youtube.com/watch?v=8iGzBMboA0I&list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY

3Blue1Brown Calculus: https://www.youtube.com/watch?v=WUvTyaaNkzM&list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr

Intro to Probability: https://www.edx.org/course/probability-the-science-of-uncertainty-and-data

Github Roadmap Link: https://github.com/mrdbourke/machine-learning-roadmap

Python GFG: https://www.geeksforgeeks.org/python-programming-language/

Element of AI: https://www.elementsofai.com/

Google ML Crash Course: https://developers.google.com/machine-learning/crash-course

MadewithML : https://madewithml.com/

workera : https://workera.ai/

kaggle : https://www.kaggle.com/competitions

DeepLearning Curriculum: https://www.deeplearning.ai/

Fastai Part1: https://course.fast.ai/

Fastai Part2: https://course19.fast.ai/part2

cs50 course: https://cs50.harvard.edu/ai/2020/

full stack DL: https://fullstackdeeplearning.com/march2019

useful Links:

https://arxiv.org/
https://madewithml.com/
https://paperswithcode.com/

My Social Media –
Instagram:https://www.instagram.com/lovebabbar1/
Twitter: https://twitter.com/lovebabbar3
LinkedIn: https://www.linkedin.com/in/love-babbar-38ab2887/

My Telegram Group Link:
Love Babbar CODE HELP
https://telegram.me/lovebabbercodehelp

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33 thoughts on “Complete Roadmap for Machine Learning || Noob to Advanced || ML 2020
  1. Love u are Awsum!!! i watched many youtubers, . love the way of your talking very natural , first time visited .never bored at all. i think you rehearse
    hardly . its a one headshot . 👍content ka to kya kehna!! packed with almost full research
    keep it up,

  2. it is just brialliant , i have seen so many videos and now i think this is the final video everyone should watch out for , one book that i will recommend is Hands on Machine learning using scikitlearn ,keras and tensorflow 2.0 ,this is the best book for machine learning , hope it will help many people

  3. Sir mera Al doubt he ki mujhe machine learning me Kuch bhi nhi aata na hi program likhna aata code ke bare me basic si knowledge he bas c c ++ tak pdha hua he par bde bde program ya koi 3d games trah Ka Kuch bhi nhi aata or c or c++ se Jo achhe program bante he vo bhi nhi aate MATLAB ke Kuch bhi nhi aata kya me machine learning me PhD Kar Sakta hu ,, me mathematics Ka students hu meny mathematics se gate qualify Kiya he mujhe mathematics ke topic clear he aap please suggest kre ki kya me machine learning Kar Sakta hu ya nhi

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