Research Question:
Predicting the medical cost put by insurance company to all of the people based on various independent variables available in the dataset from kaggle using the Regression Model
Meta Data:
Rows: 1337
Features - 06
Target Variable: (charges)
Age: Numeric columns with integer values
sex: Categorical column with value either 'male' or 'female'
bmi: Body mass index, ratio of height to weight (kg / m ^ 2)
children: No. of children
smoker: Categorical column for smoking preference either 'yes' or 'no'
region: Region with the country. [The data set taken from kaggle corresponds to the people from US]
charges: Medical charges billed by health insurance (in $)