Human or Robot? Predict if an online bid is made by a machine or a human.
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Updated
Jan 5, 2018 - R
Human or Robot? Predict if an online bid is made by a machine or a human.
The repository contains implementations of different univariate outlier detection algorithms
A Wald statistic for group-level cheating detection
A program based on semi-supervised learning to detect CerditCard Fraud Detection on Very Unbalanced database
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
Credit card fraud detection using machine learning techniques
h2o is a ML library that can be used with R and Python. Here are some R examples for supervised and unsupervised methods.
The Wirecard scandal is considered one of the largest financial scandals of the decade, which caused losses of several billion euros. This analysis examines the digit structure of Wirecard's financial figures in the period from 2005 to 2019 by analyzing the conformity with the expected frequency distributions according to Benford's law. The resu…
Script to predict fraud clicks in ads.
The aim of this project is to build a classifier that can detect credit card fraudulent transactions. I used a variety of machine learning algorithms like Decision Trees, Logistic Regression, Artificial Neural Networks and finally, Gradient Boosting Classifier
Outlier Detection Using Cluster Analysis
Fraudulent websites detector built with nonparametric models
This is an UPDATED deep statistical data analysis of the 2020 Presidential Race at the federal, state, and local county level. Benford's Law analysis was conducted at each level to detect for ballot fraud and manipulation.
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