Fraud Detection

Performed Exploratory Analysis on fraud detection dataset and tried to find interaction terms. Moreover, compared various classifiers offered by the scikit-learn library. Classifiers used are:

• Support Vector Classifier (with RBF Kernel)
• Support Vector Classifier (with Linear Kernel)
• Random Forests
• Bagging Classifier
• Logistic Regression
• KNN Classifier
• LDA Classifier
• GaussianNB Classifier
• DecisionTree Classifier
• GradientBoosting Classifier
• XGBoost Classifier
• Extra Trees Classifier

Project link: https://github.com/kaumil/fraud_detection

• Classification
• scikit-learn
• Data Analysis
• Classifiers comparisions