The aim of this project is to develop a machine learning model for accurately detecting spam messages in SMS (Short Message Service) communications. SMS spam refers to unsolicited and unwanted messages sent to mobile phone users with the intention of advertising products or services, phishing for personal information, or spreading malware.
The project will involve the following steps:
- Data cleaning
- EDA
- Text Preprocessing
- Model building
- Evaluation
- Improvement
- Website