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Why do we split data into train test and validation sets
Set a random_state to make your code reproducible
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Machine Learning with Python! Train, Test, Split for Evaluating Models
Use stratified sampling with train_test_split
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Machine Learning Project - Train Test Split And Fit The Model
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Last Updated: September 21, 2026
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sklearn.model_selection.train_test_split Don't miss out! Get FREE access to my Skool community — packed with resources, tools, and support to help you with Data, ... In this video we discuss one of the most important concepts in Q: Why set a value for "random_state"? A: Ensures that a "random" process will output the same results every time, which makes ... This video is part of an online course, Intro to One of the fundamental concepts in Are you using train_test_split with a classification problem? Be sure to set "stratify=y" so that class proportions are preserved when ...
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