Fraud Detection with R and Azure

Detecting fraudulent transactions is a key applucation of statistical modeling, especially in an age of online transactions. R of course has many functions and packages suited to this purpose, including binary classification techniques such as logistic regression. If you'd like to implement a fraud-detection application, the Cortana Analytics gallery features an Online Fraud Detection Template. This is a step-by step guide to building a web-service which will score transactions by likelihood of fraud, created in five steps: Generate tagged data Data Preprocessing Feature engineering Train and Evaluation Model Publish as web service Each step makes use of the R language,...

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