Handling Imbalanced Datasets using Python | Smote, Upsampling and Downsampling | Satyajit Pattnaik

[@rocketmannsingh3742]

Clearly explained, I truly appreciate your efforts.😊

[@EduAnmoldeep]

Great work Buddy! :D

[@sdtaneja]

Great Explanation

[@emmanuelchaki7604]

Very well explained...

[@purnendushukla8463]

Great explainer😀, wating for hyper parameter tuning one on smote

[@gopalbhandari506]

Well explained sir ji

[@onkarpandhare]

very well explained! :)

[@sidikiissadiarra3468]

Great!!

[@tharanitharan636]

Great

[@mrudulaowk9501]

This video is very informative and knowledgeable sir and topic is very interesting please go deep with this topic sir like tuning the parameters 🙏🙏👍👍👍 I liked this video very much sir and the explanation you have given waiting for your next video related to this topic

[@SatyajitPattnaik]

Thanks Mrudula

[@abhinavkale4632]

Got a new subscriber, sir!!!

[@SatyajitPattnaik]

Dhanyabad

[@abhinavkale4632]

@@SatyajitPattnaik would be great if you could teach us hyperparameters using smote. Anyways.. you are great for doing this

[@nileshohol7484]

Thanks for the video.
SUBSCRIBED!!!

[@varunraste3538]

Perhaps scikit learn inbuilt parameters class weight performs substantially well

[@SatyajitPattnaik]

yes, they do

[@jyotiranjanpadhi156]

In bank churn prediction, which one do we need to focus on more sir, precision or recall?

[@SatyajitPattnaik]

recall and precision both are important, always check these numbers for the minority class

[@shaonsikder556]

Would you please share the link of that notebook?

[@SatyajitPattnaik]

my bad, sharing in a minute

[@SatyajitPattnaik]

github.com/pik1989/DataBalancingTechniques

[@shresthshukla6239]

🚀🚀🚀🚀