March 2020
Beginner to intermediate
352 pages
8h 40m
English
Content preview from Hands-On Exploratory Data Analysis with Python
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Training sets and corpus creation
After the data preparation step, the resulting dataset is used as a training corpus. Generally, the training corpus is split into three chunks: a training set, a validation set, and a testing set.
The training set is the chunk of data that you use to train one or more machine learning algorithms. The validation set is the chunk of data that you use to validate the trained model. Finally, the testing set is the chunk of data that you use to assess the performance of a fully trained classifier.
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