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MACHINE LEARNING TRAIN TEST SPLIT METHOD

MACHINE LEARNING TRAIN TEST SPLIT METHOD

In this video, we will learn about the train_test_split method, this method is a very good practice to Split our data into training and testing part.

Usually, we split the data into 80:20 ratio. i.e 80% training data, and 20% testing data. The training data helps to train our model algorithm and then testing data helps to check the accuracy of the trained model.In the end, we will plot the graphs of the actual output and predicted output and will compare them using matplotlib library.

>> ALSO WATCH:- Machine Learning: Linear Regression Single Variable


** DOWNLOAD DATASET USED IN THIS VIDEO:-

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** FOR PRACTICE, GO THROUGH THE DATASET OF THE PREVIOUS VIDEO:-

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This post first appeared on Iitmind, please read the originial post: here

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MACHINE LEARNING TRAIN TEST SPLIT METHOD

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