Predict student scores based on hours studied using Linear Regression
"Turn study hours into score predictions with ML magic!" β¨
This is a Machine Learning (Linear Regression) project that predicts a student's score based on their study hours.
It demonstrates a complete workflow including:
- β Data preparation & visualization
- β Linear Regression model training
- β Predictions & error evaluation
- β Generating high-quality visual assets for GitHub portfolio
Perfect for hackathons, ML portfolios, or learning projects.
Watch the full workflow: from dataset to predictions to visual outputs π
Click to try the interactive version of the project and make your own predictions! π―
- Python 3.x
- Pandas & NumPy (Data manipulation)
- Scikit-learn (Linear Regression)
- Matplotlib (Visualizations)
- Streamlit (Interactive Web App)
- Clone the repository:
git clone https://github.com/YOUR-USERNAME/ML-Student-Score-Prediction.git
cd ML-Student-Score-Prediction


