In this notebook, I have created a SPAM and HAM filter predictions on the dataset Spam ham collection from UCI repository
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Updated
Jan 10, 2018 - Jupyter Notebook
In this notebook, I have created a SPAM and HAM filter predictions on the dataset Spam ham collection from UCI repository
The notebook covers basic data cleaning, exploration, and visualization techniques to understand the characteristics of spam emails.
A notebook project to determine the effectiveness of machine learning algorithms in the detection of spam emails
This repository contains a Jupyter notebook implementing the Multinomial Naive Bayes algorithm from scratch for an email classification task of SPAM or HAM. The notebook also includes a comparison of the results obtained with the scikit-learn implementation of Multinomial Naive Bayes.
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