This is an interactive Streamlit app that predicts concrete compressive strength based on mix design parameters such as cement, water, aggregate, and age. The app allows users to:
- Select features (X) and target variable (Y) for modeling
- Adjust train-test split ratio
- Train a linear regression model
- View model performance metrics (MSE, MAE, R²)
- Visualize actual vs predicted concrete strength
- Generate automated EDA reports using ydata-profiling
streamlit_app.py— Main Streamlit app coderequirements.txt— Dependencies for the appconcrete_data.csv— Dataset used for training and evaluationREADME.md— Project description (this file)
1️ Clone this repository:
git: https://github.com/Jeanmarck12/DataScience_concrete.git
cd concrete-strength-app