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kavgan
GitHub Repository: kavgan/nlp-in-practice
 Path: blob/master/text-classification/README.md
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Text Classification with Logistic Regression

Learn how to build your first text classifier using Logistic Regression in Python. The challenge is to categorize news articles with the appropriate categories (from a set of 31 categories).

Running the Notebook

  1. From the command line, first, clone this repo.

git clone <this repo url>

  1. Next, switch to the text-classification directory of this repo.

cd  nlp-in-practice/text-classification

  1. Then, run jupyter notebook

jupyter notebook

  1. Now, go to notebooks directory and select the notebook you would like to run and re-run the cells.