To silence the warning in your fetch_openml call, add parser='auto'. This is because newer scikit-learn versions have a different default parser. It chooses the best option (often pandas) but might change data types.
I am new to machine learning and wanted to learn more about scikit learn. Will watching this playlist make me good enough to procedd with machine learning?
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It looks like there's a small mistake in your code. The fit_transform method usually needs the input to be a 2D array, but when you use df[[col]], it's already 2D. Try using df[col] = imp.fit_transform(df[col].values.reshape(-1, 1)). This will reshape your column to the right format for fit_transform.
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You're welcome! To remember and use the information, take notes, practice solving problems, explain what you've learned to someone else, use flashcards for key terms, study a bit every day, and join study groups. These methods will help reinforce your memory and improve your understanding over time.
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Students like us are very obliged to have masters like you ❤️
This is so good. You got a new subscriber. Please continue doing the great work
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do you mind mastering this together?
Professionally Explained!
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Thank you so much great explanation
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Love the way you generalise the concept🫡
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thanks a lot amazing session
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amazing session, thanks
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So nice explanation 🎉🎉
Thank you so much 🎉🎉🎉🎉🎉
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Excellent explanation
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Write (parse = ‘auto’ ) when calling fetch_openml to silent the warning (its cz of the new version)
To silence the warning in your fetch_openml call, add parser='auto'. This is because newer scikit-learn versions have a different default parser. It chooses the best option (often pandas) but might change data types.
Great content.Thanks!
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I am new to machine learning and wanted to learn more about scikit learn. Will watching this playlist make me good enough to procedd with machine learning?
This is just an overview of the subject. If you wish to learn from top experts and get certification, then kindly call our course advisors on IND: +91-7022374614 US: 1-800-216-8930 (Toll-Free).
at 35:40 my code is giving error in last line
df[col] = imp.fit_transform(df[[col]]) what is wrong with it??
It looks like there's a small mistake in your code. The fit_transform method usually needs the input to be a 2D array, but when you use df[[col]], it's already 2D. Try using df[col] = imp.fit_transform(df[col].values.reshape(-1, 1)). This will reshape your column to the right format for fit_transform.
use this one df[col]=imp.fit_transform(df[[col]]).ravel()
@@jadavnaveen8931
so how did the above tutorial code worked on df[col] = imp.fit_transform(df[[col]]) ??
Really good session✨
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Please share the colab link on discription for every video to practice it. Thank you.
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Thank you !!, but how do I remember and implement. Please suggest.
You're welcome! To remember and use the information, take notes, practice solving problems, explain what you've learned to someone else, use flashcards for key terms, study a bit every day, and join study groups. These methods will help reinforce your memory and improve your understanding over time.
How can I access the code that you were writing during the video?
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Thanks
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Bro you didn't mention IDE name please tell me which IDE it is?
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YOu are learning for the first time? Ofcourse me too
@@uchindamiphiri1381 yeah
@@powerhouse3104 Okay but am getting an error on load_iris(return_X_Y=True)
if you kindly post the full function syntyx of def get_parameters(df):
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I want create jarvis like model can anyone help me out what things should I learn and roadmap for development
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40:28
nice tutorial very thanks 2u , please could you pass the github code for this video
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am here on 2024
please provide the dataset asap
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