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UID:10000531-1652364000-1652367600@www.ieeetoronto.ca
SUMMARY:Fraud Data Analysis & Exploration using Interactive Tableau Dashboard – Students’ Research in ML and DL at Durham College
DESCRIPTION:Credit card fraud detection is an ever-growing problem in today’s financial market with a rapid increase in plastic card usage worldwide. According to the Nelson report\, by 2027\, financial service providers are expected to take a $40 billion hit globally in credit card losses\, a significant increase compared to previous years. Hence\, data-driven decisions can largely help in mitigating that risk. We chose this topic to deep dive into different aspects of Fraud Data Analysis & Exploration using Interactive Tableau Dashboard. Tableau dashboards can be very powerful in driving data-driven decisions. We created an interactive dashboard to help stakeholders or less technical people to drive insights\, understand data better\, and help in business decisions making. The interactive feature helps users to add filters as per their needs and understand the data in a way they want to analyze. Our dashboard is dynamic and would be updated when several filters are applied together. Multiple filters can be added to multiple charts at the same time. These charts are intuitive which makes even new users easily interact and understand the data. \nSpeaker(s): Priyanka Singh & Devy Ratnasari \nRegister: https://events.vtools.ieee.org/m/313201
URL:https://www.ieeetoronto.ca/event/fraud-data-analysis-exploration-using-interactive-tableau-dashboard-students-research-in-ml-and-dl-at-durham-college/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/313201
CATEGORIES:Magnetics,Women in Engineering
ORGANIZER;CN="Reza Dibaj":MAILTO:reza.dibaj@ieee.org
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