FAQ: Getting Started with Natural Language Processing - Language Models: Bag-of-Words

This community-built FAQ covers the “Language Models: Bag-of-Words” exercise from the lesson “Getting Started with Natural Language Processing”.

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This exercise can be found in the following Codecademy content:

Build Chatbots with Python
Data Scientist
Apply Natural Language Processing with Python

Learn How to Get Started with Natural Language Processing

FAQs on the exercise Language Models: Bag-of-Words

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Hi,

Im trying to understand the difference between training data and test data.
Currently on scikit learn toolkit exercise and have finished with BoW processing. But while researching on the difference between .transform() and .fit_transform, i came across a question which then made me need to take a step back and ask my self the difference between training and test data, and what arguments are they used for.

This was the question that prompted me: ( Why we use fit_transform() on training data but transform() on the test data?)

Thanks for any help.