Enabling easy statistical significance testing for deep neural networks.

This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).

Minimal A/B Testing Library in PHP

A web application to design and evaluate the results of A/B tests.

Code and data for the paper "Critical Values Robust to P-hacking"

Used statistical measures to determine if the rate of re admissions for hospitals are high, if yes, what steps can be taken to bring the rate down.

MRHCA: a nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network

A nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network

Summary of Udacity's course on AB Testing

Analyzes the results of A/B tests to determine if there is a statistically significant difference between control and treatment groups. It provides a structured approach for performing A/B tests, interpreting results, and making data-informed decisions. A valuable resource for marketers and product managers aiming to optimize user experience.

This is a repository with various analytic projects.

A model of the reliability of scientific findings as affected by the convention threshold for statistical significance and by various methods of reporting findings.

This R script analyses COVID-19 data focusing on death rates, age, and gender effects on mortality. It computes descriptive statistics, cleans data, calculates death rates, performs hypothesis testing, and evaluates claims regarding age and gender effects on death.

Evaluate Hypothesis that fitness test intimidates some prospective members of the Gym.

Analyse efficacy of your own confidence interval (CI) methods