Sms spam detection system using NLP.
This project involves building a spam sms detection system using machine learning and deploying it as a web application with Streamlit. The dataset used for this project is the "spam.csv" dataset, which contains labeled SMS classified as spam or ham (non-spam). The goal is to develop a model that can accurately classify and detect spam messages based on features extracted from the email content.
1.Python
2.Jupyter Notebook
3.Pandas
4.Scikit-learn
5.Streamlit