Developing a logistic regression model to classify emails as either spam or not spam. The model is trained on features extracted from the email content, such as word frequencies and TF-IDF scores. The key steps include data preprocessing, feature engineering, model training and evaluation.
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kiojoel/Spam-Mail-Prediction-Logistic-Regression
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Developing a logistic regression model to classify emails as either spam or not spam
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