This notebook implements different models on the credit card fraud detection dataset available on Kaggle
Data preprocessing : Removal of outliers and transformation of amount column and, PCA is performed
Models Implemented - Logistic ,SVM, Decision trees, Random forest, various ensemble techniques and
boosting algorithm and compare their performance with confusion matrix and recall