In this project, we aim to classify emails as either "spam" or "ham" (non-spam) using machine learning techniques. We utilize logistic regression as our classification model and TF-IDF (Term Frequency-Inverse Document Frequency) for vectorizing the email text data.
anishkuvelkar/SpamvsHamEmailPrediction
In this project, we aim to classify emails as either "spam" or "ham" (non-spam) using machine learning techniques. We utilize logistic regression as our classification model and TF-IDF (Term Frequency-Inverse Document Frequency) for vectorizing the email text data.
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