In this post, we are going to detect fraudulent transactions on credit card transaction data. This dataset can be downloaded here.

The basic aim of this notebook is to predict new Airbnb users' first destination country based a historical dataset. This work involves a considerable amount of data cleansing work. After the dataset is cleaned and preprocessed, I use a popular xgboost classifier as the prediction model, and grid searching with 3-fold cross-validation to find the most suitable parameters for the classifier. If you are interested in finding more about the dataset or the xgboost classifier, please follow along this article.