4.4. Data Standardization | Data Preprocessing | Machine Learning Course

Sir, why don't we standardize the test data?

when i print the dataset i am not getting the output instead of that i am getting <function load_breast_cancer at 0x7fc38313cb00>.what i have to do sir?Should i have to download anything?

What if we have negative values in data set??

Sir if i have a categorical column.
And can I need to scale it after one hot encoding or not ??

Thank you 🙏

What is the need to take Y_train and Y_test data, as we have not standardized it?
Also, what does transform mean after you fit the data? Does it make the process to find standard deviation easier?
Please let me know! Thank you!

Bro while fitting the scalar quantity can't we use scalar.fit(X) instead of scalar.fit(X_train) ???
And is it compulsory to standardized the data ??

how is that if std is 200 then it varies a lot??

Why are u doing separately doing standardization on xtrain and xtest ? Instead can we do standardization on x as a whole, (not putting target variable in it)?

can u explain y we should use random_state = 3 ?

While fitting dat into module we need to give two parameters or one? You have given one that is X-train.

waiting for your sklearn tutorial module

Great work keep it up

I came here after seeing Ur post in Facebook thanks bro help full