Student Score Predictor 📈

This is a simple machine learning model that predicts student scores based on the number of hours studied, using Linear Regression.

📁 Files:

• predictor.py – Python script that loads data, trains the model, and plots results.
• data.csv – Dataset containing hours studied and scores.
• requirements.txt – Python dependencies.

⚙️ How it works:

1. Loads the dataset using pandas.
2. Splits the data into training and test sets.
3. Trains a Linear Regression model.
4. Predicts test values.
5. Plots actual vs predicted scores.

🛠 Libraries used:

• pandas
• matplotlib
• scikit-learn

📷 Output:

🔮 Example Prediction:

Actual  Predicted
4       35.81
9       28.21
27      33.00