Classification of expense category and identification of fraudulents
Business Problem: Misclassification of expense category by employees of different instances Business Constraint: Data is huge and manuall...
Business Problem: Misclassification of expense category by employees of different instances Business Constraint: Data is huge and manually cannot be done
Objective: To predict surrounding temperature of brake disc
Techniques: Deep learning
➢ Classification of different expense categories such as airfare, meal, train expense etc. ➢ Deep learning surpasses logistic regression in terms of accuracy
➢ Fraudulent can be identified using the above analysis
➢ F1 score and accuracy are used as performance metrics
➢ Verification to make sure false positives does not increase ➢ Retain the true positives
Tools: r, python and excel
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Tools: r, python and excel
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