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Machine learning algorithms cannot work with categorical data directly.
Categorical data must be converted to numbers.
In this tutorial, you will discover how to convert your input or output sequence data to a one hot encoding for use in sequence classification problems with deep learning in Python.
After completing this tutorial, you will know:
(1) What an integer encoding and one hot encoding are and why they are necessary in machine learning.
(2) How to calculate an integer encoding and one hot encoding by hand in Python.
(3) How to use the scikit-learn and Keras libraries to automatically encode your sequence data in Python.
https://machinelearningmastery.com/how-to-one-hot-encode-sequence-data-in-python/
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