GitHub - SabeehHassany/Email-Spam-Detector-DecTreeClass: Using a decision tree classification model to identify spam emails based on the specific occurrence of certain features and patterns within the email text. The dataset contains over 54 feature variables from over 4000 emails and can be used to make a custom email spam detector.

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Using a decision tree classification model to identify spam emails based on the specific occurrence of certain features and patterns within the email text. The dataset contains over 54 feature variables from over 4000 emails and can be used to make a custom email spam detector.

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Name		Name	Last commit message	Last commit date
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decision_tree_classification.ipynb		decision_tree_classification.ipynb
decision_tree_classification.py		decision_tree_classification.py
spambase_csv.csv		spambase_csv.csv