rheemaa-g / Credit-Card-Fraud-Detection

The following project aims at detecting the fraudulent credit card transactions while applying the various ML concepts right from Data Preparation, Feature Extraction, Model Validation, Hyper-param Tuning to Evaluation.

Credit-Card-Fraud-Detection

The following project aims at detecting the fraudulent credit card transactions from the simulated data avilable on kaggle. 95.57% Accuracy with 94% Recall and 0.98 AUC

Reference

http://machinelearningmastery.com/

Learning Objectives

1. Feature Selection and Importance.
2. Cross Validation application (KFold).
3. GridSearchCV for hyp-param tuning.
4. Understanding model metrics for Model Evaluation

Packages & extensions

1. Sk-learn
2. scikitplot
3. Imbalanced-learn