In this project three models are trained to detect spammed emails on data set obtained from Kaggle. Those models are Decision Tree Classifier, Naive Bayes(Gaussian), and Naive Bayes Multinomial. Upon Comparison of the models, Naive Bayes Multinomial has the best perfromance with 98% accuracy on test data set.
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This repository contains a comprehensive project on detecting email spam using machine learning techniques. The goal of the project is to classify emails as spam or not spam by training models on a dataset of email messages.
SoomroBilal/Email-Spam-Detection
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This repository contains a comprehensive project on detecting email spam using machine learning techniques. The goal of the project is to classify emails as spam or not spam by training models on a dataset of email messages.
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