A good job with a pretty smile deserves great admiration

Selam Mısra, çok sağol videoların için :) bu da çok detaylı ve güzel olmuş

Helpful video. Thank you

finally someone explained the basics

How do you generate the visualization, your explanation makes sense, but I am not sure what axes represent

all copies of a pandas dataframe are deep unless the keyword argument, deep=False. The it will be shallow.

Which is better for DataViz, GGplot2 or Origin?

Excellent 👌

Hello mam first upon thanks for your videos. Mam i want to know how to classify images by using yolov5 with KNN ?

I cant do it data.groupby("Agency").mean() syntax said error

Good simple explanation to start with for beginners

Really clear, thanks

Thanks so much for this. I'm trying to learn AI and this is by far the clearest intro I've seen so far. Looking forward to seeing the other videos you have.

Really learned more from this video and exceptionally clear, truly a valuable resource! Thank you and keep up the amazing work! 🙌🏼

good explanation

but i am using .env for my API keys.

Nice video. Thank you!

I think you are a really under-rated youtuber , your videos are so instructive and informative and the way you explain things is just so clear , I've learned so much from your videos , thank you very much

How can I participate in science experiments for money?

Who else thinks she moves so fast?😂

Hi Misra, I completed all these 51 day course and gained much knowledge. Thank you so much.

Awesome explanation! Thank you so much for the analogy, now here's to hoping my model doesn't explode when it runs across an apple pie lol

Thanks I just subbed

This is awesome. Right level of detail balanced with simplification. Great work!

this tutorial is fire

WE MAKING IT OUTTA THE AGI WITH THIS ONE🗣🗣🗣🗣💯💯💯💯🔥🔥🔥🔥

This is very helpful on my ongoing thesis🥹

😊😊😊😊😊😊😊🎉🎉🎉

Wow I admired your accent If you are not married please tell me I want my kids to speak fluent english like this! Anyways great job

You are so cute

Hi there wonderful video by the way, just wanted to let you know that I tried to the updated file to my GitHub but on the command prompt it says that the file is too large i.e the taxi data that was previously downloaded. Please how do I resolve this?

best explaination why we multiply by 1/p

讲得真好！刚开始接触深度学习，感谢

Save my Life!! Love you!!

You're my HERO 🤩🤩

What camera do you use?

Hi, I would highly appreciate it if you could place the link to download this DS skeleton

this video is great. Very simple explanation and easy to understand. Thanks

you are a genius bro

Dummies bring an unmanageable number of columns sometimes.

Thank you for sharing this.

Good work,appreciated Mısra

Very clear description, thank you!

You are so pretty and smart.

Should missing values be fixed beforehand or should skLearn Simple Imputer be used in order to perform such things afterwards

nowadays you have to reserve at least 72 extra neurons in your output layer when you classify genders, otherwise you are risking to get cancelled. And the list will surely grow in the future.

Great explanations of great StreamLit elements. Thanks for sharing it. I'm following you for professional hints on StreamLit.

Can we use any function to replace a data.like normally we replace a data with tha mean of that column.is there any other method instead of mean.

Very helpful. Thanks!

Jeez...... I am still waiting for a video where you are actually going to code something. This video series is like an endless sales pitch with generic slides which always leaves the viewer wanting more. So that they have to keep on watching the next video in the hope that they will learn something of value. Sorry to say it but its disappointing. I know it takes a lot of effort to make these videos but youtube already has enough of this generic content.