Capital One - Data Science Challenge Business problem: The prevalence of fraudulent transactions remains a significant challenge for banks, prompting them toseek strategies for reducing the frequency of fraudulent activities across customers' accounts. Utilizing historical transactiondata from specific accounts, the objective is to create a supervised machine learning model capable of predicting futuretransactions and effectively distinguishing between valid and fraudulent ones.
didilish / capital-one-data-science-challenge Goto Github PK
View Code? Open in Web Editor NEWUtilizing historical transaction data from specific accounts, the objective is to create a supervised machine learning model capable of predicting future transactions and effectively distinguishing between valid and fraudulent ones.