GitHub / Krishnadhruv / Spam-Filter-Python-NLP
Using the labeled ham and spam examples, I have trained a machine learning model to learn to discriminate between ham/spam automatically. Then, with a trained model, we'll be able to classify arbitrary unlabeled messages as ham or spam.
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PURL: pkg:github/Krishnadhruv/Spam-Filter-Python-NLP
Stars: 1
Forks: 5
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 256 KB
Dependencies parsed at: Pending
Created at: over 7 years ago
Updated at: almost 5 years ago
Pushed at: over 7 years ago
Last synced at: about 2 years ago
Topics: classification-algorithm, naive-bayes-algorithm, natural-language-processing, python, text-mining, tf-idf