Naive Bayes algorithm in Machine learning Program | Text Classification python (2018)

We have implemented Text Classification in Python using Naive Bayes Classifier. It explains the text classification algorithm from beginner to pro.
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For understanding the co behind it, refer:
https://www.youtube.com/watch?v=Zt83JnjD8zg

Here, we have used 20 Newsgroup dataset to train our model for the classification.

Link to download the 20 Newsgroup dataset:
http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz

Packages used here are:
1. sklearn
2. Tfidf Vectorizer
3. Multinomial Naive Bayes Classifier
4. Pipeline
5. Metrics

Refer the entire code at:
https://github.com/codewrestling/TextClassification/blob/master/Text%20Classification.py

For slides, refer:
https://github.com/codewrestling/TextClassification/raw/master/Text%20Classification.pdf

Follow us on Github for more codes:
https://github.com/codewrestling
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Видео Naive Bayes algorithm in Machine learning Program | Text Classification python (2018) канала Code Wrestling