DataQuest - Team 11

Out algorithm takes three variables, amount, category and city population and uses DecisionTreeRegressor from sklearn to create a model that could predict fraud. The challenges we faced is that most of the team was inexperienced and didn't know how to first approach this project. The reason we joined this hackathon is because we wanted to apply our knowledge used in class to real world situations.
We're proud about how much we learned from this experienced. We learned how to use models to predict data. We plan on joining future hackthons in the future and learn more about the career opportunities provided by BMO.

Built With

• python