Fraudsters are now more active in their attacks on credit card transactions than ever before. With the advancement in data science and machine learning, various algorithms have been developed to determine whether a transaction is fraudulent. We study the performance of three different machine...

This article models the purchasing intention of young Indian consumers for branded smartphones by analysing their individual preferences for the different features of the smartphone. This article selects thirteen features for analysis, and the respondents are asked to rate, which are further...

Sports analytics has gained rapid popularity in recent years and will likely continue to evolve. In this study, we construct predictive analytics models to forecast the NFL games outcomes in a season using decision trees and logistics regression. Several variables are used as predictors...

Uncovering the heterogeneous effects of particular policies or "treatments” is a key concern for researchers and policymakers. A common approach is to report average treatment effects in different subgroups based on observable covariates. However, there is likely to be considerable uncertainty...