Many thanks for the video. @32.25 RevolvingUtilizationOfUnsecuredLines This should be between 0-1, why can't we simply replace by 1 all the values >1 ? my apologies if u have explained this further in the video , just thought of asking while watching the video. Thanks again
the video was great but i think u messed a bit in the last by thinking u made a long video but thank you i watched the whole video as u said i got a general idea and the way u approached using those methods helped me a lot🙌
Thanks for the video , just curious about customer demographic information.Shouldn't we ignore it while building model as it fall under fair and unbiased lending practices!?
In any case first you would require to train your model so that it could understand what exactly needs to be achieved, once trained, you would for sure like to test whether the training is correct or not. Yes, after this training and testing work for sure you can integrate the model with some application development where user can enter the value and the model give output. for the purpose of practicing, you can use Input function in python to prompt for entering and input and basis on that it produces the output, a demo - ruclips.net/video/XS1fR3WJj4I/видео.htmlsi=WB37bIkU5vVBW_cf
Can you explain or solve this competition in kaggle called ( Data Science for Good: City of Los Angeles ) just EDA part i saw the solution but the converting part from txt to csv it's difficult for me especially converting 60 txt files to csv
model building starts at 58:10
Trained on the same data and predicted on the same Data
How did you come up with the intuition that SeriousDlqin2yrs and MonthlyIncome are same for some records?
Many thanks for the video.
@32.25
RevolvingUtilizationOfUnsecuredLines
This should be between 0-1, why can't we simply replace by 1 all the values >1 ?
my apologies if u have explained this further in the video , just thought of asking while watching the video.
Thanks again
the video was great but i think u messed a bit in the last by thinking u made a long video
but thank you i watched the whole video as u said i got a general idea and the way u approached using those methods helped me a lot🙌
I'm glad it was helpful
Thanks 👍
Thank you too
Thanks for the video , just curious about customer demographic information.Shouldn't we ignore it while building model as it fall under fair and unbiased lending practices!?
You are right, for sure we should, if the police prohibits that.
For this model , how can we give a manual input from user to check the output respective for it rather than the training and testing data.
In any case first you would require to train your model so that it could understand what exactly needs to be achieved, once trained, you would for sure like to test whether the training is correct or not.
Yes, after this training and testing work for sure you can integrate the model with some application development where user can enter the value and the model give output.
for the purpose of practicing, you can use Input function in python to prompt for entering and input and basis on that it produces the output, a demo -
ruclips.net/video/XS1fR3WJj4I/видео.htmlsi=WB37bIkU5vVBW_cf
Where can I get the data set?
from the given Kagle URL in the description
Thanks . It's great
Glad you liked it
Can you explain or solve this competition in kaggle called ( Data Science for Good: City of Los Angeles ) just EDA part i saw the solution but the converting part from txt to csv it's difficult for me especially converting 60 txt files to csv
It seems the Github repo has been moved, We cant find the Source!!!!
Will check out and upload again
Very informative video.can i get the python codes ?
Link in the description
so dry and no visualizations.