A machine learning project developed as part of DevComm. This repository contains the code, datasets, and resources required to build, train, and evaluate a machine learning model.
This project demonstrates the implementation of a machine learning pipeline, including data preprocessing, model training, evaluation, and prediction. It is intended for learning purposes and can be extended for real-world applications.
- Data preprocessing and cleaning
- Model training
- Performance evaluation
- Prediction on new data
- Modular and easy-to-understand code structure