This repository contains code for predicting insurance costs using regression models. Multiple Regressors are used and compared to observe the differences in the working of each.
The Medical Cost Personal Dataset is available on Kaggle: Medical Cost Personal Dataset.
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Dataset Description: The dataset includes information about individuals, such as age, sex, BMI, number of children, smoking status, region, and their corresponding medical insurance costs.
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Dataset Structure:
insurance.csv: CSV file containing the dataset.
The regression models for predicting insurance costs are implemented. Various regression algorithms are experimented with to find the best model for this task.
Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or create a pull request.