atwyburde/insurance-cost-prediction-analysis

Prediction model for Insurance Cost dataset by Regression

Insurance-Cost-Predictions

Objective: Can you accurately predict insurance costs?

About Dataset-

Columns

1. age: age of primary beneficiary

2. sex: insurance contractor gender, female, male

3. bmi: Body mass index, providing an understanding of body, weights that are relatively high or low relative to height, objective index of body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9

4. children: Number of children covered by health insurance / Number of dependents

5. smoker: Smoking

6. region: the beneficiary's residential area in the US, northeast, southeast, southwest, northwest.

7. charges: Individual medical costs billed by health insurance