An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with zscore

A curated list of projects in awesome lists tagged with zscore .

https://github.com/alessandromonolo/data-driven-ranking-model-for-citizens-based-on-their-pm-footprint

Establishment of a Model to Define the Impact of Lombardy Region Citizens on PM2.5 Emissions During Their Daily Activities. The project aims to identify environmentally harmful actions and promote a more sustainable lifestyle through a ranking system of citizens. The model is based on the Z-Score Index.

citizen datadriven footprint pollution ranking-algorithm survey-analysis zscore

Last synced: 06 Nov 2025

https://github.com/sazuna/zscore_scraper

Scrap a web page's main content based on the z-score (HTML Tags' paths with abnormally long texts will be caught by this method)

beautifulsoup scraper selenium-webdriver webscraping zscore

Last synced: 04 Feb 2026

https://github.com/shwetapardhi/assignment-1-q22--basic-statistics-level-1

Q 22) Calculate the Z scores of 90% confidence interval,94% confidence interval, 60% confidence interval for Adipose Tissue (AT) and Waist Circumference(Waist) from wc-at data set

confidence-interval norm pandas ppf python scipy stats zscore

Last synced: 14 Apr 2026

https://github.com/cyberoctane29/district-literacy-analysis

This project analyzes district literacy rates using descriptive statistics, probability distributions, confidence intervals, and hypothesis testing. It explores data patterns, detects outliers with z-scores, and conducts point estimation. The analysis is performed using Python with NumPy, Pandas, SciPy Stats, Statsmodels, and Matplotlib.

confidence-interval data-analytics eda python statistical-analysis statistical-inference zscore

Last synced: 04 May 2026

https://github.com/arshad-khalid/anomaly-detection

Real time anomaly detection and visualization

anomaly-detection matplotlib python visualization zscore

Last synced: 17 May 2026

https://github.com/shwetapardhi/assignment-2-set2-q1--basic-statistic-level-2

Q1. The time required for servicing transmissions is normally distributed with mean = 45 minutes and SD = 8 minutes. The service manager plans to have work begin on the transmission of a customer’s car 10 minutes after the car is dropped off and the customer is told that the car will be ready within 1 hour from drop-off. What is the probability tha

cdf probability python scipy stats zscore

Last synced: 09 May 2026