/PGP_DSBA_Data_Mining

Bank Customer Segmentation and Insurance Claim Prediction

Primary LanguageJupyter Notebook

PGP_DSBA_Data_Mining

Bank Customer Segmentation and Insurance Claim Prediction

The project involved drawing inferences from 2 case studies, namely - Bank Marketing & Insurance. The concepts of Clustering, CART, Random Forest, Artificial Neural Network are used to draw inferences from these case studies. Various performance metrics have been used to validate the performance of predictions on Test & Train sets.

Skills and Tools

Clustering, CART, Random Forest, Artificial Neural Networks