bootstrapping-statistics
There are 47 repositories under bootstrapping-statistics topic.
cerlymarco/tsmoothie
A python library for time-series smoothing and outlier detection in a vectorized way.
juliangehring/Bootstrap.jl
Statistical bootstrapping library for Julia
kenlimmj/rouge
A Javascript implementation of the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) evaluation metric for summaries.
thtang/Business-Analytics-Using-Statistical-Modeling
BASM - 2017 Spring
christopherjenness/bootstrap
Library for bootstrapping statistics
mickcrosse/PERMUTOOLS
A MATLAB package for multivariate permutation testing and effect size measurement
dgerlanc/bootES
Calculating robust effect sizes using bootstrap (resampling) technique in R.
raj-shr-git/Statistical_testing_python
This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.
privong/pymccorrelation
Correlation coefficients with uncertainties
S-B-Iqbal/Predicting-Power-Output-of-a-combined-cycle-power-plant.
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
junyuan-chen/AutoregressiveModels.jl
Essential toolkits for working with autoregressive models
rishi-kulkarni/hierarch
Resampling-Based Hypothesis Testing for Python
28101991SUNNY/Statistics_study
about statistical techniques for Data Science
aldomann/tropical-cyclones-plus
Master's thesis
ksatola/Analyze-A-B-Test-Results
Understand the results of an A/B test run by the website and provide statistical and practical interpretation on the test results
bryan-md/Data-Science-Projects
Portfolio of personal projects & curriculum from Springboard
heolin/strapping
A fast implementation of bootstrapping supporting multi-columns data.
josesho/bootstrap_contrast
Python module to produce bootstrapped confidence intervals and effect sizes.
chuksoo/reservoir_optimizationML
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.
JesseBausell/Hydrolight53_Bootstrap
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.
rapidsurveys/bbw
Blocked Weighted Bootstrap
Sage-Bionetworks/challengescoring
This R package provides scoring mechanisms for computational challenges and implements the bayesBootLadderBoot approach for avoiding test data leakage.
briggyx/bank_marketing_analysis
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.
DarkEyes/EDOIF
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.
Goodfeelings/spring-2024-comp-intensive-stats-projects-02
Computer Intensive Stats - Project 02
Jannik-Hoffmann/Bootstrapping-Streamlit-App
The code for a snappy streamlit app demonstrating the statistics behind bootstrapping
pieterjansevanrensburg/small-american-town-health-data-investigation-using-R
An investigation of various covariates on the death rate of small American towns
privong/pyMCSpearman
Monte carlo calculation of Spearman's rank correlation coefficient with uncertainties. Following Curran (2014)
sohbatSandhu/Impact-of-Tobacco-Usage-On-Potential-Heart-Failure-Patients
Statistical Inference for Data Science: UBC Term Project (2022W) - Inferential Analysis
XiangwenWang/correlation
Calculate confidence intervals for correlation coefficients
david-ok/ProjectAppleApps
Apple AppStore Apps Preference Predictor
psanghal/machine_learning
Prediction Model, Bias and Uncertainty
jyothisable/Walmart-EDA
EDA on walmart black friday sales with bootstrapping and hypothesis testing