Wonderfully explained...voice, intonation, pace, clarity of the subject, energy levels. Everything look perfect here. It would help the community a lot, if you make more videos on the ML projects.

Great!

Thank you so much for your time presenting this; it is a major help!

it felt like i had a friend teach me everything from the very beginning, thank you so much.

can anyone help me with practical implementation video on eye iris feature location project? i mean live example of how to work with gray scale images and how to find out their features?

i was trying to call jupyter notebook from powershell but couldnt as it showed no cmdlet named jupyter, please help

If possible could you please come up with working on different models in machine learning?

Would you be able to tutor via zoom? Would that be possible?

Your teaching is simply amazing, concise and clear. Please make more videos! :)

Thank you

Thank you

have a good time. Great job. Thank you so much!

Thank you

Bruh u are a YAPPER yap yap yap yap. but at least your info is correct. Ill give you credit

15:26 in my case greens points data and oranges are separate very clear

you really helped me a lot by making these amazing tutorials

12:53 i got 1.0 is that fine ? sorry for my english gramal i speak spanish

Thank you

You’re amazing, this was such a great course

it's Alt-Shift-I in windows, the command palette will show you, to multi-line add cursors haven't figured out the multi-select yet

hmmmm, I ended up tracing back to check for where I went wrong in the last part but I think I got there. Eventually corrected what was returning test set accuracy as 100% to more like 97%. I think i misused the parameters to model.fit the first try because I had made comparative versions of the fit before the cross validation and tuning. Great videos will definitely do a re-walk through to check I had things right.

i found the tutorial strait to the point. I struggled a lot trying to get a dark theme for my jupyter notebook which came with a lot issues and didn't eventually work. Your tutorial ultimately brought the breakthrough I needed.

Thank you so much for this video! Listened till the end.

Amazing tutorial!! Learning pandas with you is incredibly enjoyable and with valuable takeaways!

Great series of Numpy and Pandas, love your voice and the speed of lecturing!

Thank you. So much useful.

this playlist is like a gemstone in a sea of gunk

Hey, I thank you so so soooo,... much. I've been looking for this tutorial for months and finally someone who covers it the way you did. THIS IS AMAZING & EDUCATIONAL FOR ALL BEGINNERS WHO DON'T KNOW HOW TO SET UP THEIR ENVIRONMENT. GOD Bless You❤

From where you have loaded the dataset?

thank you, truly appreciate it

great talk!

Any future comments on how to do these on Windows pls let me know.

This video is amazing well organized. Pls keep making them. I'm an engineer trying to learn programming.

Hi Mate: I am currently in an apprenticeship for data science work in IT and I hope this helps me understand the topic a little better. I am curious though, is there any technical reason for working in a jupyter notebook as opposed to a bunch of .py files? Or is it easier for educational purposes?

Hey bud, thanks for the video it's great. I have a question about my Jupyter notebook. When I start coding, I see your notebook changes colors. like for example when you type import its green and when you type print its red. Mine always stays white. what am I doing wrong? I have downloaded the latest version, but it doesn't change colors at all. Also, I see you notebook is white. Mine comes automatically in black. Could this be why? I just want to see the changes, so I don't get confused. Could you give me a suggestion on what to do? Thank you in advance

"x" key I thought is for cut, then "v" for paste, Del is "dd" (double d)

How to install multiple packages of python in widows and Linux without using internet in that system

Excellent tutorial. Lots of handy information.

Thanks a lot for your course. It was perfectly clear and helped me a lot.

Thank you so much, i'm learning data science and every body explain all this algorithms but no one explain the 3 basic modules used constantly throughout the algorithm : Numpy, Pandas and matplotlib I'm lookinh through all of ur videos on the subject ! Thx !!!

one of the most underrated tutorial for matplotlib. Thank you for providing such a great tutorial

That's the great video but could you make a picture more clear and bigger? I have a sigh-problems and I'm begginer and I can catch your information just by ears..it's quite difficult to understand whole process. Thanks a lot, really appreciate your explanation

your the best teacher ever

make more videos pleasssss

oh my god why dont you just make more videos???????

oh my god your the bestttt

Thanks you, bro. Its very interesting lessons!

A very goood explain, tnks!!!

Thank you sir! Well done.

wanna say thanks a lot. this course is very good about beginning to supervised models