Medical Insurance Price Prediction

Overview of the dataset:
The medical insurance dataset contains information about a number of factors that can affect medical expenses, including age, sex, BMI, smoking status, number of children, and region. This dataset can be used to train a machine learning model that can predict medical expenses for new customers.

To provide insights into the key factors that contribute to higher insurance costs and help the company make more informed decisions regarding pricing and risk assessment.

The dataset contains 2.7K rows and 7 columns
Columns include

1. Age
2. Sex
3. BMI (Body Mass Index)
4. Children
5. Smoker
6. Region
7. Charges

Problem Statement:

1. What are the most important factors that affect medical expenses?
2. How well can machine learning models predict medical expenses?
3. How can machine learning models be used to improve the efficiency and profitability of health insurance companies?

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