love how short and concise your video is but still explain the concept very clearly while my professor use a couple pages to explain it but still doesnt click in my head
After finding the best hyperparameters for a model using validation data, should we retrain the model using both the training and validation data before using it on the test data?
Great analysis, thank you! I need some advice: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). What's the best way to send them to Binance?
I love your content. Everytime I split my data into train and valid, either using trainsplit function or manually, my val loss does not decrease below 1. The only way to get my val loss lower and lower, is to use part of my train data as validation data 😢
Good day ma, please can you help me out? I have been trying to figure out this for a long time but i could not. I want to know the best evaluation plots for machine learning models, specifically for classification problems. How best can someone visualize performance? Unlike deep learning models, you can use train and test curves, how best can we visualize using machine learning models? Do you have any video you have done about that? been checking your playlists but i can't find such, kindly help us out. Thanks
Ah, if you were living in France, I would have married you immediately, I would have taken you to some fancy restaurant everyday and during the night, you would have done my assignments within data science.
love how short and concise your video is but still explain the concept very clearly while my professor use a couple pages to explain it but still doesnt click in my head
Just what I was looking for, your video is so simple and easy to understand, and straight to the point!!!
Great to hear, thank you :)
Thanks for making a distinction between testing and validation
For two minutes, that is pretty darned good!
Simple and good explanation, thank you so much ☺️
video is very much useful. Your channel is so underrated.
finally someone explained the basics
After finding the best hyperparameters for a model using validation data, should we retrain the model using both the training and validation data before using it on the test data?
No
Great explanation thanks.
Thanks for your explanation, it is very useful for me.
Great analysis, thank you! I need some advice: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). What's the best way to send them to Binance?
Brilliant and clear!
I love your content. Everytime I split my data into train and valid, either using trainsplit function or manually, my val loss does not decrease below 1. The only way to get my val loss lower and lower, is to use part of my train data as validation data 😢
Your model might be overfitting in the first case :/
Superb
Good day ma, please can you help me out? I have been trying to figure out this for a long time but i could not. I want to know the best evaluation plots for machine learning models, specifically for classification problems. How best can someone visualize performance? Unlike deep learning models, you can use train and test curves, how best can we visualize using machine learning models? Do you have any video you have done about that? been checking your playlists but i can't find such, kindly help us out. Thanks
You are the best, thank you!😊
Thank you!
What camera do you use?
Good one!
what is the need of testing data is the hyperparameters don't to be optimized?
please make a video on logestic regression
Teşekkürler!
Rica ederim!
Why we only standardize x train and x test
Can you explain something about it?????
Example the meaning and useful of each one
0:50'de blop efekti ödümü kopardı
Can you make a project use of some ML application
Teşekkürler.
No demo?
Not for this one :)
Can we expect more pandas related videos
For sure! more to come.
Ah, if you were living in France, I would have married you immediately, I would have taken you to some fancy restaurant everyday and during the night, you would have done my assignments within data science.
You are soo cute❤❤
NOLIKE for UN useful!!!!!
This is very helpful on my ongoing thesis🥹