This Python application generates a real-time plot of random data points and identifies anomalies using z-scores.

This is a paleolimnological analysis using tidypaleo in R. View the Github page to walk through each step of the analysis.

This project uses the Z-score method to detect anomalies in real-time data streams. It features synthetic data generation, anomaly detection, and live visualization. With robust error handling, it's ideal for finance, cybersecurity, and system monitoring applications.

Voter Fraud Detection

University projects that tackle the area of data science

Collection of Python scripts to perform various statistical analyses

Analysis of Classical Machine Learning Algorithms for Anomaly Detection in Time Series Data

This project uses statistical analysis to detect fraudulent credit card transactions by examining patterns and anomalies in a dataset of 10,000 transactions, calculating averages, medians, frequencies, and identifying outliers to distinguish between legitimate and fraudulent activities.

An npm package for advanced sign-in security, including AI-based risk assessment, anomaly detection, real-time PostgreSQL database, automated user management and MFA. Compatible with React, Vue, and Angular

A high-performance Django application with DRF for viewing and rating articles, designed to handle large datasets efficiently.

Malicious URL detector built with deep exploration on feature engineering.

This repository contains a project using the Iris dataset for data visualization, outlier detection, normalization, and classification. The project includes models like GaussianNB, RandomForestClassifier, and DecisionTreeClassifier, with hyperparameter tuning and PCA for dimensionality reduction.

Python package to perform statistical hypothesis tests.

ROC, AUC, and Z-score functions for anomaly detection

simple IQR & Z-score normalization script

Free WordPress Plugin: The Z-Score Calculator helps to get the z-score of a normal distribution, convert between z-score and probability, and get the probability between 2 z-scores. www.calculator.io/z-score-calculator/

Q3.Auditors at a small community bank randomly sample 100 withdrawal transactions made during the week at an ATM machine located near the bank’s main branch. Over the past 2 years, the average withdrawal amount has been $50 with a standard deviation of $40. Since audit investigations are typically expensive, the auditors decide to not initiate furt

In January 2005, a company that monitors Internet traffic (WebSideStory) reported that its sampling revealed that the Mozilla Firefox browser launched in 2004 had grabbed a 4.6% share of the market. I. If the sample were based on 2,000 users, could Microsoft conclude that Mozilla has a less than 5% share of the market? II. WebSideStory claims that

Analysis of Growth Data