Project Name: Prediction of Medical Insurance Cost

Algorithm Used: Linear Regression

Data: "Insurance" dataset from Kaggle

Data Processing: Analyzed and structured the data

Data Split: 80:20 ratio for train and test data

Outcome: Predicted the cost of medical insurance

Performance: Achieved an accuracy of 74.47%