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Exercise

Prepare label vectors

In the video exercise, you learned the differences between binary classification and multi-class classification. You learned that there are some modifications to the data preparation process that need to be done before training the models.

In this exercise, you will prepare a raw dataset with labels given as text. The data is given as a pandas.DataFrame called df, with two columns: text with the text data and label with the label names. Your task is to make all the necessary transformations to the labels: change string to number and one-hot encode.

The module pandas as pd and the function to_categorical() from keras.utils.np_utils are already loaded in the environment and the first lines of the dataset is printed on the console for you to see.

Instructions 1/3
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  • Get the attribute .cat.codes of the column label contained on data frame df and print its shape.
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