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by Nick Acosta | Published September 14, 2018
Artificial intelligenceData scienceDeep learning
In this developer code pattern, we will use Jupyter Notebooks in IBM Watson™ Studio to build a model that predicts a code’s programming language based on its text. The model will then be evaluated using the Watson Natural Language classifier.
With IBM Watson Natural Language Classifier, a data scientist can build a model that looks at text documents and classifies them based on the categories used to build the model. We can use this tool to look at the contents of GitHub and classify code based on the programming language used. With a Jupyter Notebook running on Watson Studio, the data can cleaned and manipulated, and the Watson Developer Cloud SDK for Python provides APIs to create and use a model in Watson Natural Language Classifier.
When you have completed this code pattern, you will understand how to:
Please see the README for detailed instructions.
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