adding a readme for the data analysis

Author: CaesarGhazi

4_data_analysis/README.md

@@ -1 +1,32 @@
 # Data Analysis
+
+This folder contains the Jupyter notebook used to **model and analyze**
+student performance data.
+
+## Dataset
+
+- **File used:** [`cleaned_sed_dataset.csv`](2_data_preparation\cleaned_data\cleaned_sed_dataset.csv)
+- Same cleaned dataset from the data preparation stage.
+
+## Notebook Contents
+
+- Loads the prepared dataset
+- Selects relevant features for modeling
+- Splits data into training and testing sets
+- Trains a linear regression model
+- Evaluates predictions using Mean Squared Error (≈107) and R² score (≈0.69)
+- Visualizes actual vs. predicted average marks
+- Extracts and plots feature coefficients to interpret importance
+
+## Purpose
+
+This analysis moves beyond EDA to:
+
+- Build a simple, interpretable baseline model
+- Identify which engagement features most influence student marks
+- Evaluate predictive power and understand limitations
+
+## How to Run
+
+Open the notebook in Jupyter or Google Colab and run all cells. Ensure
+`cleaned_sed_dataset.csv` is present in the expected path.