Loads the cleaned business dataset for analysis.

Handles missing values for modeling and Filters relevant columns

Splits the dataset into 80% training and 20% testing data.

Builds a regression model to predict Profit from selected predictors.

Generates predicted Profit values using the trained regression model.

Evaluates model performance using R², RMSE, MAE and MSE.

Compares actual Profit with Predicted Profit to assess model performance.

Shows the trend of Actual and Predicted Profit values.

Profit Prediction & Regression Analysis