A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
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Updated
Apr 10, 2026 - Python
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Shiny App for comparison of samples
A MATLAB package for multivariate permutation testing and effect size measurement
Case Studies and Projects in Machine Learning/EDA/DL
PlotTwist - a web app for plotting and annotating time-series data
Linear Regression with errors in both X and Y, correlated or not, confidence intervals and plots.
🏠 This repository contains data analysis scripts for the 2022 American Community Survey (ACS) focusing on individuals aged 25 and over in North Carolina, based on 75,340 observations. This repository offers valuable insights into demographic and economic patterns across North Carolina's urban areas.
Free WordPress Plugin: Calculate the exact sample size and margin of error for your next survey or study. Use our free Sample Size Calculator for statistically accurate results. www.calculator.io/sample-size-calculator/
A comprehensive module used to calculate the high bound, low bound, and center of a Wilson score interval.
about statistical techniques for Data Science
Utility functions for statistical population samples.
Moderation, mediation, and moderated mediation in structural equation modeling and multiple regression
MSc Dissertation: Estimating Uncertainty in Machine Learning Models for Drug Discovery
CLI micro-benchmarking for Node, Deno, and Bun with nonparametric statistics and significance testing.
More Meaningful Measurements: Effect Sizes and Confidence Intervals for Proportions using Python
Calculate confidence intervals for correlation coefficients
Use bootstrap resampling to estimate the sampling distribution of a statistic
Package provides python implementation of statistical inference engine
Had the incredible opportunity to present at the Don Bosco 1st International Conference near Sukhdev Vihar Metro on 27th July, 2024! 🎤🗓️, and My 2nd International Confrence so Far 😉
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