Predict credit card Frauds using Anomaly Detection techniques (Kaggle competition – Silver Medal)

Participated in an online Kaggle competition with an aim to detect fraudulent credit card transactions.

The main focus was to learn and understand how to properly validate a Machine Learning model. To avoid overfitting and to make sure that our Cross-Validation technique is reliable, we explored many validation strategies. We also implemented different ensembling techniques like boosting and stacking. Our final model included 9 different Tree based models that enabled us to secure a top 5% rank (190/6381) and a Silver Medal