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
Source
Thank you
Best roadmap seen ever
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,
3 March 2022 starting my ml dekhte hai kb khtm hota hai
finished watching
thanks bhaiya❤❤❤
Thank you So much bhaiya. Love from Bangladesh.
Love your guideline videos from Bangadesh
Brother , please make playlist of machine learning. 🙏🙏🙏🙏🙏
Thank bro this is a well researched video.
Very informative video of ml by legend sir,,
Excellent seek more
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
What should I learn first AI or ML ?
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
should we be very good in maths for machine learning , i am quite average but not very proficient
Please bhaiya Data analyst ka bhi roadmap laao detailed
thank you very much brother
for such a great information…on machie learning
Do "NOT" dive into Machine Learning without the basics of probability and statistics
Kya mujhe machine learning krne ke baad as a fresher job milegi
you should mentioned about DSA in machine learnings like how much DSA is required to learn for machine learnings for interview purpose.
Very informative video. Explained very good.
Love bhaiya i love u ❤❤❤🕺🕺🕺🕺 aapki vajah se coding me mann lagne laga 🤝🏻🤝🏻
Bhai AI ML ki jobs abhi kafi h kya india me ?
Ek course le aao AI ML ka after DSA supreme 2.0
Thank you bhaiya
Databases must be added.
i want to know sir, how do we see our trained ML in software or app or web etc. means if google colabs run project its perfect then wt will we do to show on web or app.
Andrew ng ml course is really good for beginners
sir datascience ka course release kro naa
100days campusx machine learning is good
best video for roadmap of machine learning
Lalgebra mit
Calculus
Matrix prob stats math for ml
Python, numpy, tensor flow,
Streamlit(frontend for ml)
Azure/google ai
Thanks bhaiya