Dude this is so amazing, doing handstands right now lol. I got an error, however, I figured I had to use a column number instead of a string when initializing categorical_features . eg categorical_features = [2, 3, 4] . Keep up the good work!
The transformed_X also contained Price (Target column), will it not be an issue while fitting the model? If yes, what should be the ideal way of doing it- First separate features and target then transform(OneHotEncoding) features then fit the model OR First transform(OneHotEncoding) whole data then separate features and target then fit the model?
First time I'm understanding how machine learning prediction works. You got a subscriber
I agree! Severely underrated …Haven’t seen a more clearer and easy to understand video
5 minutes into the video, I already find it really helpful. Thanks!
Duuuuuude, you're saving my life! Your explanation is amazing! 😊
God bless you man. Straight to point video ❤❤
It is very helpful and I had used the code that he is telling and it is all right👍
thanks for the amazing video. you're severely underrated
Superbly done
Dude this is so amazing, doing handstands right now lol.
I got an error, however, I figured I had to use a column number instead of a string when initializing categorical_features . eg categorical_features = [2, 3, 4] .
Keep up the good work!
Wonderful teaching
thank you! i'm glad i found you.
Great video. This is excellent dude.
Wonderful sir, thanks for the explainaation
good job
The transformed_X also contained Price (Target column), will it not be an issue while fitting the model?
If yes, what should be the ideal way of doing it- First separate features and target then transform(OneHotEncoding) features then fit the model OR First transform(OneHotEncoding) whole data then separate features and target then fit the model?
great video dude!
Can we put one hot encoder before spitting the data?
my family thanks ya... sure enough. so wonderfully natural code.
Isn't it just better to use the dummies function?
Thanks
where I can I get the Datasets
Same question. Did you find the answer?
dont know why it is giving the output in True and False
i also had the same problem
It is a classification model