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Projects in Awesome Lists tagged with z-score

A curated list of projects in awesome lists tagged with z-score .

https://github.com/krzko/gcp-anomaly-detector

🔢 Anomaly detection service for Google Cloud Monitoring metrics, utilising statistical analysis to identify significant deviations in time-series data

anomaly anomaly-detection gcm gcp gcp-monitoring z-score

Last synced: 13 Apr 2025

https://github.com/guobinhit/archimedes

♨️ An outlier detection service applied to time series.

algorithm anomaly dbscan detection lof outlier time-series z-score

Last synced: 28 Feb 2025

https://github.com/diversen/zscore-probability

The following functions calculate probability from a z-score and z-score from a probability.

z-score z-table

Last synced: 02 Apr 2025

https://github.com/shwetapardhi/assignment-2-set4-q3--basic-statistic-level-2

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

cdf interval norm probability python scipy stats z-score

Last synced: 27 Mar 2025

https://github.com/noone03/outlier_remover

A outlier removal tool, removes outlier row-wise using z-score or InterQuartile Range method

iqr outlier-removal python3 z-score

Last synced: 27 Mar 2025

https://github.com/onome-joseph/anomaly-detection

Comprehensive anomaly detection algorithm designed to analyze and identify anomalies in computer internal features.

anomaly-detection-algorithm hardware-monitoring python z-score

Last synced: 06 Apr 2025

https://github.com/mohammad95labbaf/outlier-imbalanced-fraud-detection

The Credit Card Fraud Detection project uses statistical techniques and machine learning for identifying fraudulent transactions. It includes data preprocessing, outlier detection using Boxplots and Z-scores, and a decision tree model. Evaluation goes beyond accuracy, considering precision, recall, F1-score, and ROC AUC.

boxplot classification-model credit-card credit-card-fraud credit-card-fraud-detection decision-tree decision-tree-classifier fraud-detection imbalanced-classification imbalanced-data outlier-detection outlier-removal z-score

Last synced: 03 Mar 2025

https://github.com/shwetapardhi/assignment-2-set3-q5--basic-statistic-level-2

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

hypothesis-testing norm probability python scipy stats z-score

Last synced: 27 Mar 2025

https://github.com/msikorski93/detecting-outliers-in-a-dataset

An example of improving data quality and identifying anomalies within a real-life dataset for master data management or data engineering.

elliptic-envelope interquartile-ranges isolation-forest outliers sql-server z-score

Last synced: 26 Feb 2025

https://github.com/jai0212/secure-auth-ai

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

ai-security anomaly-detection authentication javascript mfa multi-factor-authentication npm-package postgresql python realtime-database user-management web-development z-score

Last synced: 21 Mar 2025

https://github.com/randogoth/lyagushka

The algorithm identifies clusters and gaps in integer datasets, calculates their Z-scores based on mean density and distance, and outputs the results as JSON.

attractors clustering clusters gaps statistical-analysis voids z-score

Last synced: 08 Apr 2025

https://github.com/khushi130404/outlier_exterminator

Outlier_Exterminator is a Python tool for detecting and treating outliers using IQR, Z-Score, and Percentile methods. It supports trimming, capping, and Winsorization, demonstrated in a Jupyter Notebook.

capping iqr machine-learning numpy percentile-method trimming winsorization z-score

Last synced: 01 Mar 2025