GitHub / asghar-rizvi / Email-Spam-Detector-EDA-Model-Building-and-Flask-Integration

The Email Spam Detector project uses Python to identify spam emails. It leverages a Kaggle dataset for training, employs TfidfVectorizer for preprocessing, and selects a Naive Bayes model for its performance. The Flask-based web app features an HTML/CSS frontend for user input and spam classification.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asghar-rizvi%2FEmail-Spam-Detector-EDA-Model-Building-and-Flask-Integration

Topics: datascience, eda, flask, machine-learning, modeldeployment, naivebayes, nlp-machine-learning, python, spam-detection, textclassification, tfidfvectorizer, webdevelopment

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