A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Shiny App for comparison of samples
Case Studies and Projects in Machine Learning/EDA/DL
A MATLAB package for multivariate permutation testing and effect size measurement
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.
π 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: This sample size calculator enables you to calculate the minimum sample size and the margin of error. Learn about sample size, the margin of error, & confidence interval. 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.
MSc Dissertation: Estimating Uncertainty in Machine Learning Models for Drug Discovery
Moderation, mediation, and moderated mediation in structural equation modeling and multiple regression
More Meaningful Measurements: Effect Sizes and Confidence Intervals for Proportions using Python
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! π€ποΈ, and My 2nd International Confrence so Far π
An interactive Streamlit web app that predicts the likelihood of road accidents based on environmental and road parameters. It uses trained machine learning models to provide mean risk predictions and a 95% confidence interval, updating live as you adjust inputs.
Testing hypothesis and building Confidence Intervals
Basic Statistic operations using R language
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