/Fraud_detection

 Predicted the false policyholders of an insur ance compan y based on past tr ading info and fr aud char acteristics.    Dealt with the missing values, outliers and imbalanced data using KNN-Imputation, Binning and SMOTE respectively.  Applied Random Forest classifier with hyper tuning the parameters using Grid Search.

Primary LanguageJupyter Notebook

Stargazers