A python library for time-series smoothing and outlier detection in a vectorized way.

Statistical bootstrapping library for Julia

A Javascript implementation of the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) evaluation metric for summaries.

BASM - 2017 Spring

Library for bootstrapping statistics

A MATLAB package for multivariate permutation testing and effect size measurement

Essential toolkits for working with autoregressive models

The objective of the Project is to predict ‘Full Load Electrical Power Output’ of a Base load operated combined cycle power plant using Polynomial Multiple Regression. Concepts : 1) Clustering, 2) Polynomial Regression, 3) LASSO, 4) Cross-Validation, 5) Bootstrapping

Correlation coefficients with uncertainties

Calculating robust effect sizes using bootstrap (resampling) technique in R.

This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.

Resampling-Based Hypothesis Testing for Python

Master's thesis

about statistical techniques for Data Science

Understand the results of an A/B test run by the website and provide statistical and practical interpretation on the test results

Python module to produce bootstrapped confidence intervals and effect sizes.

A fast implementation of bootstrapping supporting multi-columns data.

Portfolio of personal projects & curriculum from Springboard

HE53_Bootstrap enables user to evaluate radiative transfer using field-measured inherent optical properties (IOPs). The program accepts ac-s and hs6 data and performs bootstrapping with replacement to produce a series of depth-binned absorption, attenuation, and backscattering from single spectra. The resulting output files can be uploaded into …