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hypothesis-testing

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statsmodels /statsmodels

Statsmodels: statistical modeling and econometrics in Python

python data-science statistics prediction econometrics forecasting data-analysis regression-models hypothesis-testing generalized-linear-models timeseries-analysis robust-estimation count-model

UpdatedJan 13, 2026
Python

unionai-oss /pandera

A light-weight, flexible, and expressive statistical data testing library

testing schema validation data-validation pandas-dataframe assertions pandas testing-tools data-processing dataframes data-cleaning hypothesis-testing data-verification pandas-validation data-check data-assertions dataframe-schema pandas-validator

UpdatedFeb 19, 2026
Python

ggstatsplot

IndrajeetPatil /ggstatsplot

Enhancing {ggplot2} plots with statistical analysis 📊📣

r dataviz datascience statistical-analysis regression-models hypothesis-testing effect-size ggplot-extension bayes-factors non-parametric-statistics

UpdatedFeb 16, 2026
R

tirthajyoti /Stats-Maths-with-Python

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

python data-science machine-learning statistics analytics clustering numpy probability mathematics pandas scipy matplotlib inferential-statistics hypothesis-testing anova statsmodels bayesian-statistics numerical-analysis normal-distribution mathematical-programming

UpdatedSep 18, 2022
Jupyter Notebook

shervinea /stanford-cme-106-probability-and-statistics

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

distribution statistics probability cheatsheet regression-testing hypothesis-testing

UpdatedSep 9, 2020

ModernDive_book

moderndive /ModernDive_book

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

data-science ggplot2 r dplyr rstudio tidyverse regression data-visualization statistical-inference rstats confidence-intervals tidy data-wrangling bootstrap-method regression-models hypothesis-testing infer permutation-test moderndive

UpdatedJan 29, 2026
HTML

Rishabh-creator601 /Books

Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY 😊😊😊😊

javascript python machine-learning natural-language-processing statistics reinforcement-learning computer-vision deep-learning cpp hacking stats yolo sqlite3 maths mongodb-database hypothesis-testing pdfs mlflow dvc-pipeline

UpdatedJan 2, 2026

erdogant /distfit

distfit is a python library for probability density fitting.

pdf pypi plot sse probability-distribution hypothesis-testing kolmogorov-smirnov qqplot probability-statistics density-functions cumulative-distribution-function fitting-curve

UpdatedJan 22, 2026
Jupyter Notebook

deep-significance

Kaleidophon /deep-significance

Enabling easy statistical significance testing for deep neural networks.

machine-learning deep-neural-networks deep-learning ml machinelearning deeplearning dl hypothesis-testing statistical-significance significance-testing statistical-significance-test hypothesis-tests compare-scores

UpdatedJul 1, 2024
Python

JuliaStats /HypothesisTests.jl

Hypothesis tests for Julia

statistics julia hypothesis-testing hacktoberfest

UpdatedNov 24, 2025
Julia

neurodata /hyppo

Python package for multivariate hypothesis testing

python data-science independence hypothesis-testing hacktoberfest ksample-testing

UpdatedNov 2, 2025
Python

snap-stanford /POPPER

Automated Hypothesis Testing with Agentic Sequential Falsifications

agent hypothesis-testing llm ai-for-science

UpdatedMay 14, 2025
Python

data-science-toolkit

pmaji /data-science-toolkit

Collection of stats, modeling, and data science tools in Python and R.

python data-science machine-learning natural-language-processing data-mining ggplot2 r statistics reinforcement-learning modeling tidyverse regression data-visualization statistical-analysis econometrics classification logistic-regression hypothesis-testing distributional-analysis kolmogorov-smirnov

UpdatedMar 11, 2025
HTML

djsutherland /opt-mmd

Learning kernels to maximize the power of MMD tests

python machine-learning theano tensorflow generative-adversarial-network statistical-tests kernel-methods hypothesis-testing maximum-mean-discrepancy shogun

UpdatedJan 11, 2018
Python

majianthu /pycopent

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

python correlation entropy information-theory variable-selection causality copula hypothesis-testing mutual-information changepoint transfer-entropy conditional-mutual-information granger-causality change-detection change-point-detection causal-discovery two-sample-test copula-entropy normality-test conditional-independence-test

UpdatedOct 2, 2024
Python

Pegah-Ardehkhani /Statistics-and-Probability-in-Python

A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python

python statistics probability regression p-value scipy confidence-intervals matplotlib inferential-statistics discrete-distributions hypothesis-testing continuous-distributions probability-theory random-variables python-statistics statistics-for-data-science statiscal-learning statistical-hypothesis-testing parametric-hypothesis-tests statistics-using-python

UpdatedMar 14, 2025
Jupyter Notebook

weijie-chen /Basic-Statistics-With-Python

Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

data-science probability mathematics econometrics parameter-estimation hypothesis-testing descriptive-statistics frequentist-statistics anova-analysis

UpdatedJun 9, 2024
Jupyter Notebook

xrobin /pROC

Display and analyze ROC curves in R

machine-learning cran r plot variance plotting roc r-package bootstrapping roc-curve hypothesis-testing covariance

UpdatedFeb 2, 2026
R

yug95 /MachineLearning

Machine learning for beginner(Data Science enthusiast)

machine-learning timeseries deep-learning neural-network algorithms tensorflow scraping regression python3 t-test classification recommendation-system recommendation-engine hypothesis-testing anova andrew-ng chi-square-test market-basket-analysis z-test

UpdatedMar 25, 2025
Jupyter Notebook

puolival /multipy

Multiple hypothesis testing in Python

python statistics neuroscience data-visualization p-value reproducibility hypothesis-testing multiple-comparisons bonferroni sidak false-discovery-rate fdr permutation-algorithms fwer q-value random-field-theory two-group-model r-value

UpdatedAug 8, 2024
Python

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