Live- Implementation Of Flight Fare Prediction Web App Project With Deployment

preview_player
Показать описание
Credits: Amar Mandal
Please donate if you want to support the channel
Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more

Please do subscribe my other channel too

Connect with me here:
Рекомендации по теме
Комментарии
Автор

Thanks a lot Krish for all that you do for us to learn Data Science in a better way. Guru Purnima is dedicated to teachers like you.

natarajanlalgudi
Автор

Love your guidance...me in 4th year...u made me interested in this field ♥️♥️♥️♥️😍

kaushikdasgupta
Автор

God Bless u, Krish, u are so helpful.

hrk
Автор

what is the benefit of doing this project bcs i told my sir i am taking this project, he told me that why u are making this project u know na everybody know which season flight price is high.

Vikaspandey-xosx
Автор

1:18:45 Feature Selection - Nice Topic

ashishsondagar
Автор

Hello sir, thank you so much sir for this video, this is the 1st video of yours which i have seen and i was very confused and worried when i have started this project but now i am with a very clear idea about it now, even if its late i got your video but its good for me further to follow your lectures and get a good knowledge, once again i thank u so much sir.

haindavichakravarthi
Автор

Not telling about statics and templates.till model creation eveything clear. not fully describing end to end..

christeenjose
Автор

Amazing krish sir
Really loved this video

dhirajgupta
Автор

Hi Krish, This Video is Good as it explains all the python code steps and end to end implementation of projects. Wish to see you like this. Don't change. Your honesty reflects in your work and the way you help others to educate

debmalyaray
Автор

Thank you very much, you helped me understand a lot of stuff.

soniayempie
Автор

Good one... Can you share E2E implementation for unsupervised ml algo.

Rocksnapster
Автор

Really appreciate it sir.. Fantastic work

abdulkareemridwan
Автор

Amazing Explanation..keep it up sir the hard work

justgowithjojo
Автор

Would be more interesting if you tell the Relevance of the score which we have calculated.. If the score is high what should be the threshold and what score to check and when... I know you must have different lectures on them but lil hint would be helpful in understanding and matching

neelmanishrivastava
Автор

thanks sir ....performed very well in end sem exam because of this

shashiram
Автор

Hello Krish, manuy thanks for this video .
Just I have a question in (1:20:42) you have created a heatmap without all encoded data ( Source, destination and airline ) are not there .
Could explain en precise the reason to do that ( you put train_data instead of data_train(the data after encoding)
Many thanks

mourad-mh
Автор

Actually didnt understood, we already had the test data but hen why we splited the main data ?....If i missed something please let me know

fitness_rohit
Автор

thank you... i feel like we can use more sample data at 1:07:55 before making that conclusion about the stops and price relation

mikefda
Автор

You explained it very nicely. I just have one doubt. Should we perform hyperparameter optimization for (i) entire input data or (ii) should we first divide into training and testing datasets and then perform hyperparameter optimization on training data only?

ankushjamthikar
Автор

You are doing great job Krish for students who works their project in machine learning, thanks alot .
can you please do, Live- Implementation Of network anomaly detection Using Deep Learning End To End Projects With Deployment that is helpful for me because i'm starting network intrusion detection using deep learning

mulualemayehu