An interactive Streamlit web app for building, training, evaluating, and visualizing end-to-end Machine Learning pipelines — from data preprocessing to model deployment.
- 📊 EDA and data profiling
- ⚙️ Custom preprocessing pipeline
- 🤖 Train multiple ML models
- 📈 Model evaluation & visualization
- 💾 Save & load trained models
- 🔄 Live predictions using uploaded data
🔗 Live Demo on Streamlit Cloud
- Python 3.x
- Streamlit
- scikit-learn
- pandas, numpy
- seaborn, matplotlib
- joblib
git clone https://github.com/your-username/your-repo-name.git
cd your-repo-name
pip install -r requirements.txt
streamlit run app.py