My goal for this project was to gain some exposure to machine learning algorthims and a taste of data science. So I created a couple of classifers and compared the different models:
- Logistic Regression
- Support Vector Machine
- Bagging (Random Forest)
- Boosting(XGBoost)
- Multilayer Preceptrons
I used the dataset available on kaggle: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud/data