Topic: bootstrapping-statistics Goto Github
Some thing interesting about bootstrapping-statistics
Some thing interesting about bootstrapping-statistics
bootstrapping-statistics,about statistical techniques for Data Science
User: 28101991sunny
bootstrapping-statistics,Scripts developed for the Data Visualisation class
User: aldomann
bootstrapping-statistics,Master's thesis
User: aldomann
bootstrapping-statistics,
User: amatov
Home Page: https://www.nature.com/articles/nmeth.1493#Sec13
bootstrapping-statistics,This project analyzes a Portuguese bank's term deposit marketing campaigns, uncovering key factors and client profiles to optimize marketing strategies and enhance the bank's lending pool and revenues.
User: briggyx
bootstrapping-statistics,Portfolio of personal projects & curriculum from Springboard
User: bryan-md
bootstrapping-statistics,A python library for time-series smoothing and outlier detection in a vectorized way.
User: cerlymarco
bootstrapping-statistics,Performed a probabilistic analysis on sample GPA data using techniques such as Empirical distribution, Bootstrapping and Bayesian Analysis.
User: chanmad
bootstrapping-statistics,Library for bootstrapping statistics
User: christopherjenness
bootstrapping-statistics,Practicum by Yandex Project 8: In this project, we would apply machine learning in business. We are to develop a model that would predict the volume of reserves in new wells, pick the region with the highest total profit, and optimize well placement.
User: chuksoo
bootstrapping-statistics,This project has the purpose to apply what I have learned in inferential statistics such as bootstrapping, confidence interval, hypothesis testing and other tools for data analysis like categorization, binnig, etc.
User: dante-cmd
bootstrapping-statistics,EDOIF is a nonparametric framework based on estimation statistics principle. Its main purpose is to infer orders of empirical distributions from different categories base on a probability of finding a value in one distribution that greater than the expectation of another distribution.
User: darkeyes
bootstrapping-statistics,Calculating robust effect sizes using bootstrap (resampling) technique in R.
User: dgerlanc
bootstrapping-statistics,Review of bootstrap principles and coverage analysis of bootstrap confidence intervals for common estimators
User: eufemianofp
bootstrapping-statistics,Computer Intensive Stats - Project 02
User: goodfeelings
bootstrapping-statistics,A fast implementation of bootstrapping supporting multi-columns data.
User: heolin
bootstrapping-statistics,The code for a snappy streamlit app demonstrating the statistics behind bootstrapping
User: jannik-hoffmann
Home Page: https://wtf-is-bootstrapping.streamlit.app/
bootstrapping-statistics,jeksterslabRboot is a collection of functions that I find useful in studying bootstrapping concepts and methods.
User: jeksterslabds
Home Page: https://jeksterslabds.github.io/jeksterslabRboot/index.html
bootstrapping-statistics,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 Hydrolight for modeling radiative transfer.
User: jessebausell
bootstrapping-statistics,Python module to produce bootstrapped confidence intervals and effect sizes.
User: josesho
bootstrapping-statistics,Statistical bootstrapping library for Julia
User: juliangehring
Home Page: https://juliangehring.github.io/Bootstrap.jl
bootstrapping-statistics,Essential toolkits for working with autoregressive models
User: junyuan-chen
bootstrapping-statistics,EDA on walmart black friday sales with bootstrapping and hypothesis testing
User: jyothisable
bootstrapping-statistics,A Javascript implementation of the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) evaluation metric for summaries.
User: kenlimmj
bootstrapping-statistics,Understand the results of an A/B test run by the website and provide statistical and practical interpretation on the test results
User: ksatola
bootstrapping-statistics,R programming and its application to data analysis and statistical methods
User: melisnv
bootstrapping-statistics,A MATLAB package for multivariate permutation testing and effect size measurement
User: mickcrosse
Home Page: https://arxiv.org/abs/2401.09401
bootstrapping-statistics,R codes for the ANMU research paper.
User: mrparker909
bootstrapping-statistics,An investigation of various covariates on the death rate of small American towns
User: pieterjansevanrensburg
bootstrapping-statistics,Analyze A/B Test Results - Data Analyst Nanodegree with Udacity
User: pooja-rane7
bootstrapping-statistics,Correlation coefficients with uncertainties
User: privong
bootstrapping-statistics,Monte carlo calculation of Spearman's rank correlation coefficient with uncertainties. Following Curran (2014)
User: privong
bootstrapping-statistics,Prediction Model, Bias and Uncertainty
User: psanghal
bootstrapping-statistics,This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.
User: raj-shr-git
bootstrapping-statistics,Blocked Weighted Bootstrap
Organization: rapidsurveys
Home Page: https://rapidsurveys.io/bbw
bootstrapping-statistics,Resampling-Based Hypothesis Testing for Python
User: rishi-kulkarni
bootstrapping-statistics,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
User: s-b-iqbal
bootstrapping-statistics,This R package provides scoring mechanisms for computational challenges and implements the bayesBootLadderBoot approach for avoiding test data leakage.
Organization: sage-bionetworks
bootstrapping-statistics,Statistical Inference for Data Science: UBC Term Project (2022W) - Inferential Analysis
User: sohbatsandhu
bootstrapping-statistics,Nonparametric bootstraps in Go
User: spenczar
bootstrapping-statistics,BASM - 2017 Spring
User: thtang
bootstrapping-statistics,Analyzed A/B test where we moved the first gate in Cookie Cats from level 30 to level 40 to provide statistical & practical significance w.r.t player retention.
User: vishwapardeshi
bootstrapping-statistics,Calculate confidence intervals for correlation coefficients
User: xiangwenwang
bootstrapping-statistics,Report on analysis of A/B Test run by an e-commerce website to test their new web page
User: yashmotwani
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.