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
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
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.
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 ?
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?
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.
Honestly one of the best project explanation for beginners on RUclips
This is really easy to understand. One of the most impressive educational clip I ever watched. Thank you.
Must watch as a beginner with this concept . Thankyou so much presenting everything clearly .
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
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.
keep uploading the good the work. Only data science people understand the important of simple and effective teaching.
Thank you for being sooooo clear with your explanation! You deserve more subscribers. I just subscribed!
Very clearly and Well explained sir .. Thank you for the video
Great video, it was my first experiment in ML and it helped me so much
Very well explained 🎉🎉🎉
Thanks for your support 🎉🎉🎉
looking for ur upcoming videos..U are doing a great work..
This video needs 1M likes!!!
Thanks you for your explanation! Really helpful :)
Great video my friend. You explain it very well. Regards from Brazil.
Very clear explanation.... great work sir
Plz upload more video
Ur concept is very clear
Thank you for this .. really helpful.
You are so great . Thank you
Amazing beautifully explained each and everything, perfect ✨
Very nicely explained
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
Thank you so much, sir! It helped me a lot.
Well explained 👏
Very clearly explained.
Great explanation. Thanks❤️
Nice explain
thank you. it was a great lesson. can you make a video for signal classification on CSV file input too?
Many Thanks for this great Video!
Question: How can i actually use this Modell? For Example to predict whether a spezific Passenger will die?
Very good video
thank you so much Sir
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.
Great
Many thanks for this great video!
How can i use this model to predict whether forecast?
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 ?
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?
use chat gpt
THANKS
Please send source code
Your vocal quality is not good can you uoload again with increased volume
😏😏😏😏