In this tutorial, we delve into the world of email classification using Python. We start by loading and preprocessing the email dataset, exploring label distribution, and encoding labels. Then, we conduct various analyses including word frequency, sentiment analysis, and message length analysis. We also train a logistic regression model for classification, evaluate its performance with accuracy metrics and ROC/PRC curves, and implement a prediction system for realtime classification of emails as spam or ham. Don't miss out on mastering the art of spam email detection with Python!"

Python Code woking file https://www.4shared.com/s/fH2mfVUaCku
dataset CSV file https://www.4shared.com/s/fSSIu1NKTjq

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