Ravendracroma28 Mar, 2024Education
Developing a machine learning model for spam detection involves several key steps. First, gather a dataset containing examples of both spam and non-spam (ham) emails or messages. Next, preprocess the data by converting text into numerical features using techniques like bag-of-words or TF-IDF.
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