Node.js API binding for Oriskami's risk management intelligence
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Updated
Oct 30, 2019 - JavaScript
Node.js API binding for Oriskami's risk management intelligence
Built LDA and QDA models on variables obtained from Principal Component Analysis (PCA) and Kolmogorov-Smirnov (KS) and tuned by leave-one-out cross-validation (LOOCV) to predict fraudulent online advertising click traffic
Kaggle Fraud Detection challenge hosted by IEEE
To detect Credit Card Fraud by using SVR, Isolation Forest and Local Outlier Factor.
Credit card fraud detection (anomaly detection) on a 3k dataset
Development project about detecting fraud transactions
A book project accompanying the CopyDetect package. The book provides comprehensive coverage of response similarity analysis using R.
Quick reference on various aspects of machines learning that I have come acrossed and my Machine Learning portfolio.
Fraud Detection to detect Fraudulent Act/Fake Posting on Job Posting Platform.
System to tell apart the transaction was from the real user who owns the credit card or the transaction was from the stolen credit card.
An attempt to detect credit card fraud with imbalanced dataset using various models and identify the costs for using each model - over the span of 2 weeks for my 3rd Project with IOD
A short study on four marketing channels of Divar company
The objective of my experiment is to analyze the performance of Random Forest, Naive Bayes, Logistic Regression, and K-nearest neighbors machine learning models for evaluation of the utility of synthesized data for fraud detection.
Sample code for using and executing the TigerGraph JDBC Driver for a Fraud Detection Graph
Credit card fraud detection
Repository consisting of code and data used for a master thesis to detect fraudulent annual reports in US-XBRL-Annual-Reports
Parse a CSV file of Call Data Records (CDRs) and check the SentryPeerHQ API to find a match
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