Identifying and distinguishing spam SMS and Email using the multinomial Naïve Bayes model.
This is a SMS Spam Detection Project with Streamlit
The SMS Spam Detection Module is a machine learning-based classifier designed to differentiate between spam and legitimate (ham) messages. It leverages Natural Language Processing (NLP) and classification algorithms to analyze SMS text and predict whether a message is spam.
This repo contains machine learning projects about some popular datasets. In each project, exploratory data analysis is made before building the model.
Creating a Pipeline to classify(using Naive Bayes Algorithm) over 5000 text messages as Spam or Ham using Natural Language Processing
📩 Detect spam SMS messages using machine learning and explainable AI to enhance security and privacy while gaining insights into classification decisions.
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