I made this project on my free time in order to put in practice and showcase my data and machine learning skills. The project main goal is to create a model that can predict well the cost of a medical insurance based on some features such as age, Body Mass Index (BMI), smoking habits and many more. As an achievement, I could say that I maanged to get 10 models with a score of 0.90 R2!. Dataset was obtained from Kaggle.
Project was created using:
- Python3
- Pandas
- Numpy
- Matplotlib
- Seaborne
- Scikit-learn
- XGBoost
- TensorFlow