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

Published: 21 October 2018
on channel: Code Wrestling
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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:
   • naive bayes classifier | Introduction...  

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/...

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/Text...

For slides, refer:
https://github.com/codewrestling/Text...

Follow us on Github for more codes:
https://github.com/codewrestling







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