Medical insurance cost prediction

Python code to analyze data and predict output based on some specific features of the dataset

such as

age, sex, smoking, bmi, how many children and region.

first I cleaned the dataset then I used seaborn and matplotlib to get insights about the data

I pre-processed the data before feeding it the regression model to predict the cost of the medical insurance.