March 2020
Beginner to intermediate
352 pages
8h 40m
English
Content preview from Hands-On Exploratory Data Analysis with Python
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Model creation and training
Once we have split the dataset into three chunks, we can start the training process. We use the training set to construct the machine learning model. Then, we use the validation set to validate the model. Once the model has been trained, we use the test set to find the final performance of the model.
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