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.
Hyper parameter tuning using Grid search
Creating a Pipeline to classify(using Naive Bayes Algorithm) over 5000 text messages as Spam or Ham using Natural Language Processing
Add a description, image, and links to the smsspam-dataset topic page so that developers can more easily learn about it.
To associate your repository with the smsspam-dataset topic, visit your repo's landing page and select "manage topics."