This is a repository to show the process for predicting a claim amount of a customer of automobile insurance. Unfortunately, some data is confidential so all the sensitive parts are removed from the project; however, there is still a good amount of information on the exploration. This project was held as an in-class competition (8 teams in total), and we got the 1st place.

1. Resolve dependencies from the import statement in the Python file.

e.g. pip install pandas

e.g. pip install numpy

e.g. pip install sklearn

e.g. pip install sklearn-pandas

e.g. pip install xgboost

2. Put the file "competitionset.csv" in the same folder with the Python file.
3. Execute the Python file (FinalModel.py).
4. The submission file (predictedclaimamount.csv) will be generated with a beeping.