1.3) Encode the data (having string values) for Modelling. Data Split: Split the data into test and train (70:30). Apply Linear regression. Performance Metrics: Check the performance of Predictions on Train and Test sets using R-square, RMSE. (8 marks) 1.4) Inference: Based on these predictions, what are the business insights and recommendations. (6 marks)