Very clearly and Well explained sir .. Thank you for the video

Very well explained 🎉🎉🎉 Thanks for your support 🎉🎉🎉

any idea what we achieve with this? i mean where is the conclucion suppose i wanted to know what are the variables behind those who surrived ? for example if it is age or a gender how do i know ?

Great work , many thanks. you explained with clearity. i am surprised to see your video only got 700 views & its one of best video of data science.

Please send source code

Honestly one of the best project explanation for beginners on KZbin

Plz upload more video Ur concept is very clear

Great video, it was my first experiment in ML and it helped me so much

Your videos are amazing and very informative! Thank you so much.

Very good video

Can we take first cloumn as predicted yes, then predicted no? Also index in the similar way. In this case true positive is 151. In the video true negative is 151.

keep uploading the good the work. Only data science people understand the important of simple and effective teaching.

Your vocal quality is not good can you uoload again with increased volume

thank you. it was a great lesson. can you make a video for signal classification on CSV file input too?

Amazing beautifully explained each and everything, perfect ✨

Great explanation. Thanks❤️

Great video my friend. You explain it very well. Regards from Brazil.

This video needs 1M likes!!!

Very clearly explained.

Thank you for being sooooo clear with your explanation! You deserve more subscribers. I just subscribed!

thank you sir :)

Very clear explanation.... great work sir

In line 74, shown at 37:01 I am getting an error that "ValueError: Input contains NaN, infinity or a value too large for dtype('float64')." What can be done about this?

thank you so much Sir

I have no idea how this video has only 7k views. You explain things so clearly and you throw in useful commands that make life easier. Mad respect brother.

I knew all the things. I know how to find but I was very confused about what to do what to find with Logistic Regression. Now this video gives me a hope that I can do any kind of Logistic Regression with ease <3 Thank you very much for this wonderful video

Thank you for making a great, wonderful video! Please make more videos for us. Thanks a million!

Thank you so much, sir! It helped me a lot.

Well explained 👏

Many thanks for this great video! How can i use this model to predict whether forecast?

THANKS

Very informative. Huge respect to you. It would be better if you upload videos on remaining python libraries as well. Thank you.

Please make videos on all machine learning models as well as on python. Thank you, Sir.

Sir, why did you stop uploading videos? Your videos are very much informative than others and value-added. The best thing about your videos is your keen explanation.

Very good explanation Sir. Huge respect to you.

Awesome video. Many thanks to you. It would be better if you provide the complete python tutorial for beginners.

Should not the index=['actual yes', ' actual no'] same for the columns . As the positive comes first so actual yes should come first and not actua no. Same for the column too

Amazing content.hopefully we'll see more of these videos. Thank you!

Great

Very nicely explained

Thank you Thank you and Thank you!!!. I am very new to data science. very helpful. Thank you

XLent sir...

Many Thanks for this great Video! Question: How can i actually use this Modell? For Example to predict whether a spezific Passenger will die?

Nice explain

looking for ur upcoming videos..U are doing a great work..

Great

Great video once again. Thanks for sharing

Very well explained Sumeet.

Its very helpful to me Thank you so much for uploading this video

Your definition of "from scratch" is different than mine. Scratch is like the "simple math" version of things with minimal to no imports.