Fraud Detection Using Machine Learning (Summary)
Identify which employees are more likely to have committed fraud by applying machine learning to financial and email data.
Identify which employees are more likely to have committed fraud by applying machine learning to financial and email data.
Identify which employees are more likely to have committed fraud by applying machine learning to financial and email data.
Exploring ridership of New York’s boroughs and creating a set of prediction models.
Exploring ridership of New York’s boroughs and creating a set of prediction models.
Deployed data munging techniques to assess the quality of OpenStreetMap’s (OSM) for the center of Singapore regarding their consistency and uniformity.