Machine Learning Tutorial Python - 7: Training and Testing Data

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Topics that are covered in this Video:
0:00 - Theory behind why we need to split given dataset into training and test using sklearn train set split method.
0:54 - Coding (Here we use car price prediction problem to demonstrate train test split)
2:14 - Use train_test_split from sklearn
3:54 - Use of random state method
4:49 - Use of fit() method to train your model
5:35 - Score() method (to check the accuracy of the model)

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[jingyiwang]

Thank you so much for your clear explanation and demonstration! It is really helpful! And it saves me because I have been stuck at one of my class assignments for more than two weeks. I am really grateful for your help!

[shanthinagasubramanian]

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[tootiredone]

Amazing video with a precise and clear explanation of the topic! Thank you very much!

[codebasics]

Machine learning tutorials with exercises:

[lifeisnotvibestv]

52 seconds in and i already understand. Thank you

[pscih]

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[SHAMIL]

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[ramanak]

Your videos are always precise, short, simple and clear in explanation of the topic! I love the way you teach it. Thank you !

[fernandoflores]

Excellent explanation! Thanks a lot!!, methodology is quite straight forward, however in my experience (short by now), we need to determinate which is the best classifier to use based on the data investigation, mainly using data visualization tools and then prepare the data previously to process it.

[karapw]

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[sanjaykala]

Another good example for machine learning, thanks.

[drummerboieva]

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[pawanamarnani]

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[GeriReshef]

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When I'm looking for an "Hello world" example, that's exactly what I need.
Thanks!

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[VRUNO]

the explanaintion was clear like the water! thanks Sir!