Learn Machine Learning Like a GENIUS and Not Waste Time

Learn Machine Learning Like a GENIUS and Not Waste Time

You won’t learn Machine Learning in 3 months. I don’t know how long it will take you but here I am sharing everything I know to get you started and make it as fast as possible.

Also Watch:

Git/Github Playlist:

👇🏻 Links Resources I mention in the Video👇🏻

=== Python ===

Other tutorials:
Or simply type “Python tutorial” into Google :-)

=== Math ===

Stats & Probability:

Linear Algebra:

Calculus:

=== Data Tools ===

=== ML Theory ===

=== ML tools ===

=== Neural Networks / Deep Learning ===

=== Real Projects ===

================== Timestamps ================
00:00 - Intro
00:40 - Why learn Machine Learning & Data Science
01:11 - How to learn?
03:25 - Where to start? (Jupyter, Python, Pandas)
05:25 - Your first Data Analysis Project
06:32 - Essential Math for Machine Learning (Stats, Linear Algebra, Calculus)
08:53 - The Core Machine Learning Concepts & Algorithms (From Regression to Deep Learning)
10:16 - Scikit Learn
11:37 - Your first Machine Learning Project
13:24 - Collaborate & Share
13:59 - Advanced Topics
14:22 - Do’s and Don'ts

[kashifayaz]

My goodness, if anyone wants to really get into ML this video is IT!

Note: Not for people who say they want to do ML, but in reality just like planning what they will do. (Note to self as well 😅)

[que_]

Perhaps, THE MOST honest content on this matter: Learning ML.

[adityamwagh]

This is great advice. Coming from someone working in ML and Robotics since 2018. No BS, to the point advice. This is the only ML learning advice video you should watch.

[coomlord]

That last part about building off tutorials is very real. I find that most of the youtube guides/tutorials are very basic and meant for beginners, but if you take something basic and implement your own ideas it can become a larger and larger project which helps a ton

[notlogic.the.second]

the hardest thing about programming and in general these topics is that it is not straight forward and you know what you need to learn. that is the hard part because then it takes a lot of time and gets boring really fast. nice video

[noblemaster]

This video is all i needed. I've been into Data Science for over a year now and i have done and learned many of the things mentioned on the video, but at some point i felt like i missed something on my way, and this videos had the answers i was looking for. Such a fantastic road map for ML

[MisterGeekey]

This video is fantastic, I started learning ML recently and planed to build my first projects in 2025. The whole video was as if my mind was being spoken out loud as this is exactly how I was planing on doing. This reinsures me. I have a solid math background but always hated statistics. This Khan Academy resource will be soooo helphul. Great video, thank you !

[Pxrpose]

I have been mindlessly doing random ML concepts and projects without a clear goal or pathway. This video was an absolute game changer. Thank you!

[alexanderpeca]

Great content and giving the comments of ppl, who apparently are from the field, I definitively will subscribe!

I just finished my DS bootcamp, and right at the beginning I knew it was an illusion, I would be able to master the whole thing in 3-4 months (even if I am ok at statistics and math). BUT, the 4 months gave me a good overview of the whole. Now, I am going back and started again to recap and practice, starting with python and dataviz.

[malinenanjing]

When it comes to ML, I often get lost and here it is a game changer. Thank you for your guidance. I have saved a lot of time.

[NaHuye]

I was going back and forth with so many ideas. But this it. I now know what I want to do. Thank you very much.

[progsydia]

This is very high quality stuff man. Nice video! - aspiring data scientist

[Nikhil-xwwc]

i learned ML, along with time series, recommendation system with help of mythical indian YouTubers like campusX and krish naik in 5 months ... now I'm also learning MLOPS with azure ... in span of 1 year I learned ML, DL, NLP, cloud, MLops, SQL, pyspark, hive etc ... indian community has best teacher for ML, DL and now I'm an intern at MNC ...

[kartik]

Grateful for the video brother, You just saved me hours of banging my head against the wall of youtube creator claiming to build a roadmap for ML and tell BS. Thanks again😭

[soufianeaitlhadj]

From someone that has (maybe) the majority of the math knowledge that you talked about, I can't emphasize on the importance of the python libraries that you talked about Pandas, Numpy and sklearn, we sometimes forget how important they are especially if you come from a theory based background. Also, If you have some knowledge gaps (especially in the hypothesis tests in stats) you'll have a big trouble trying to make good predictions and/or insights.

Also, I want to make a point on the part when you talked about calculus, I think it's important to study not only derivatives of single variable function, but also for multivariable ones, because it's important, for example to understand from where the estimators formulas in multiple linear regression came from.

Good advice.

[KOWEAGE]

Dame I am glad I clicked on this video I was very confused what to do and where to get the resources.from now iam happy that I found this video ❤❤❤❤

[varolo]

Great video, I will save it so I can rewatch it any time I need to remember how to become a ML expert.

[ivds]

I have been stuck in tutorial hell and this video made me realize it 😅 thanks for the content! will try now and do some projects of my own

[rohanajithshankarp]

Absolutely the best one I have ever encountered 🙌
Really appreciate your efforts and experience 🙏

[rajeshpentapati]

Thank you for sharing the cleanest ML roadmap in such a beautiful video. I really appreciate your guiding and helping others. The video description contains all the useful links, which is a bonus.