I was just learning about classification models and then I got this recommendation from You tube. Awesome video Harry.
@harrysdatajourney
Ай бұрын
Thanks Shailendra! Hope you found it helpful
@DarkOceanShark
Ай бұрын
Thanks Harry, I am looking forward for more such content from you. :)
@harrysdatajourney
Ай бұрын
Thanks! Let me know if you have any suggestions on what you’d like me to cover next 😀
@candypopz7865
Ай бұрын
As someone who wants to become a business insights analyst, this is very helpful. Thanks Harry! ❤
@harrysdatajourney
Ай бұрын
Glad you found it helpful!
@hoangha6680
Ай бұрын
thanks for the video. Just a small suggestion that an "end-to-end" data science project also includes model deployment such as on a web-app, etc. I hope that your future 'end-to-end' DS project will also have this part.
@harrysdatajourney
Ай бұрын
Your right! I wanted to look at covering model deployment in a separate video as this one was already quite long. Thanks for the suggestion!
@hoangha6680
Ай бұрын
@@harrysdatajourney no prob, in my opinion, long and detailed videos attract me the most since they cover the full picture,.It doesn't matter if you have long video such as more than 1 hour ^^
@harrysdatajourney
Ай бұрын
@@hoangha6680good to know! Thanks for the feedback 😀
@thelogiclabio
Ай бұрын
Great stuff Allum
@harrysdatajourney
Ай бұрын
Thanks Harry!
@vishukumar6477
Ай бұрын
I am Aspiring Data Scientist it's very helpful and Awesome ' ✌
@learner8324
Ай бұрын
great content, eagerly waiting for the deployment part.....
@harrysdatajourney
Ай бұрын
Stay tuned! 😀
@bilal-khan
Ай бұрын
A question, if you have a large number of features. How do you choose between different categorical encoding? Do you attend to features on individual basis and then decide what encoding should be used?
@clipstok788
4 күн бұрын
what is the name of vs code theme?
@user-vd9nd3gm4n
28 күн бұрын
Are you actually typing that fast? 😮
@pent1162
Ай бұрын
I got this error: "All estimators should implement fit and transform, or can be 'drop' or 'passthrough' specifiers. 'Pipeline(steps=[('col_dropper', ColumnDropper(columns_to_drop=['red_vehicle']))])' (type ) doesn't." From Chatgpt, "According to the error message, the issue lies with the cols_to_drop_pipeline in the ColumnTransformer. In the ColumnTransformer, the output of cols_to_drop_pipeline should be directly discarded rather than being processed as a complete transformer." But, does anyone meet the error?
@harrysdatajourney
Ай бұрын
Your pipeline code looks fine. Can you share your code for the custom transformer?
@pent1162
Ай бұрын
I found the typo in class: "The ColumnDropper class in this code has a spelling error; transfrom should be changed to transform. This spelling error occurs in the initial definition of the ColumnDropper class." While I correct it, all is fine. :P
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