This repository contains an implementation of the AdaBoost algorithm applied to a Medical Health Insurance dataset. The goal is to use AdaBoost, a powerful ensemble learning method, to predict insurance-related outcomes based on various medical and demographic features .
- numpy
- pandas
- scikit-learn
- matplotlib
- seaborn