What is classification in Machine Learning | Binary and Multi-class classification

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I was searching for such a best explainer and finally I got. Thanks for such an awesome tutorial❤

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Well done - thanks for posting.

Thank you 👍

thank you so much !

JUST AN ADVICE , PLS USE WHITE BOARD . DIFFICULT TO CONCENTRATE

Thank for making something so complex seem more straightforward.

Commendable sir👍👍👍

Thank you

Great explaination sir pls make a video on machine learning and so on.
Your teaching skill is excellent.

thank you sir you are so clear and easy to understand

This is the best explanation I have seen so far. Thank you

I think in multiclass you can use binary but you mean probability is better. If you have many attributes you still use Y/N. Binary. The end of tree your left with decision and discrete value. Y/N.

great video, thanks!

thanks

Too good bro

Hi, I am trying to figure out the answer for this , can anyone help pls:
You have a historical sales data set, which you use to train a model. Your product have an attribute named profitability, which has one of the three values : high , medium, or low. This is the property you set as the target.
Which train data steps is required.
a) Train Numeric Prediction
b) Train text prediction
c) Train multi-value
d) Train multi-classifier
e) Train clustering
f) Train binary classifier

Nice explanation. An useful content.

Your explanation is very good and informative. Just a small suggestion. Try to avoid saying okay many times.