Machine Learning Tutorial Python - 7: Training and Testing Data
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- เผยแพร่เมื่อ 22 มิ.ย. 2024
- sklearn.model_selection.train_test_split method is used in machine learning projects to split available dataset into training and test set. This way you can train and test on separate datasets. When you test your model using dataset that model didn't see during training phase, it will give you better idea on the accuracy of a model.
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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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Shanthi, I am happy you liked the content.
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Amazing video with a precise and clear explanation of the topic! Thank you very much!
52 seconds in and i already understand. Thank you
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I am happy this was helpful to you.
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Your videos are always precise, short, simple and clear in explanation of the topic! I love the way you teach it. Thank you !
Glad you like them Ramana!
Finally understood exactly how to use the function after watching this video, thanks!
A great explanation: short, simple, concentrate only in a basic examples without additional tools that would make it more sophisticated but less clear.
When I'm looking for an "Hello world" example, that's exactly what I need.
Thanks!
Geri, "hello world" is a very accurate way of describing my content. Thanks for posting a comment.
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.
It really helped me in completing my final year project. Thank you and all the best.
I am currently doing my research(project) in Machine Learning(Iris Matching). I would be so happy to hear from you, my email address, darelasisi@gmail.com. Thanks.
Can you share details of your project
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Friend... Very Nice way you have explained each and every thing... Thanks for such tutorials
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Thank you so much for this amazing and well understable tutorial
Yes, it definitely helps to have someone explain the basics instead of copy/pasting 300 lines of code and expecting me to know what is happening.
clear, short and simple. Thank you.
Shahar, thanks for posting the feedback buddy.
Thanks for not adding advertisements in middle of the video it creates distribution, some channels are doing this for money not for studies purposes..✌✌great tutorial 👍
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Another good example for machine learning,thanks.
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Dear Yash, thanks for comment. I will keep uploading more videos. Stay in touch and keep sharing. Thanks.
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Yash 97, I am glad you liked it.
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Glad to hear!
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Akande I am glad you found it useful 😊
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Glad you liked it Paul
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Glad it helped!
This is great, thank you. Could you explain how validation data comes into play?
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I benefited from your tutorial, thank you.
Thanks so much mate, yours is the first video I've found which hasn't used the iris dataset for this. The iris dataset from Sklearn confuses the hell out of me with its different commands.
Glad you found this useful 😊👍🙏
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Sundar, Thanks for the comment. By the way I like your name :) Same as Google CEO.. ha ha...!
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thank you