AWS
Train and deploy an XGBoost model in Amazon SageMaker
We will use a Kaggle dataset about credit card fraud detection. This dataset consists of transactions made by credit cards in September 2013 by European cardholders. It contains 492 frauds out of a total of 284,807 transactions. You can see that it is highly unbalanced, where the positive class (frauds) Read more…