/Insurance-Cost-Prediction-Analysis

Prediction model for Insurance Cost dataset by Regression

Primary LanguageJupyter Notebook

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