ACT6243_News_Category_Classification

Note

The goal of this Lab is to explore some of the main scikit-learn tools on a single practical task: analyzing a collection of text documents (newsgroups posts) on twenty different topics. In this Lab we will see how to:

1. Load the file contents and the categories
2. Extract feature vectors suitable for machine learning
3. Training a classifier
4. Building a pipeline
5. Parameter tuning using grid search
6. Evaluation of the performance on the test set