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hypothesis-testing

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IndrajeetPatil / ggstatsplot

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Enhancing `ggplot2` plots with statistical analysis 📊

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visualization r dataviz correlation plot tidy-data datascience statistical-analysis meta-analysis regression-models parametric hypothesis-testing effect-size ggplot-extension correlation-matrices bayes-factors violin-plot robust-statistics non-parametric-statistics

Updated Aug 14, 2021
R

pandera-dev / pandera

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Open

Set default Check n_failure_cases to None and add documentation for n_failure_cases behavior

5

jgirault-qs commented Jul 23, 2021

Describe the bug
pa.errors.SchemaErrors.failure_cases only returns the first 10 failure_cases

I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandera. 0.6.5
(optional) I have confirmed this bug exists on the master branch of pandera.

Note: Please read [this guide](https://matthewrocklin.c

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bug help wanted good first issue

Open

Create google colab and binder "try pandera" example

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Add documentation for type coercion behavior

1

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ModernDive_book

moderndive / ModernDive_book

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

Updated Sep 8, 2021
HTML

tirthajyoti / Stats-Maths-with-Python

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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

Updated Aug 27, 2021
Jupyter Notebook

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

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

distribution statistics probability cheatsheet regression-testing hypothesis-testing

Updated Sep 9, 2020

JuliaStats / HypothesisTests.jl

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Hypothesis tests for Julia

statistics julia hypothesis-testing hacktoberfest

Updated Jun 23, 2021
Julia

djsutherland / opt-mmd

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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

Updated Jan 11, 2018
Python

data-science-toolkit

pmaji / data-science-toolkit

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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

Updated Jan 2, 2021
HTML

deep-significance

Kaleidophon / deep-significance

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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

Updated Aug 10, 2021
Python

neurodata / hyppo

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Open

add more robust unit tests to validate accuracy with other simulations

5

sampan501 commented Mar 10, 2021

Is your feature request related to a problem? Please describe.

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enhancement good first issue

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incorporate block permutation into K-sample tests

1

Open

Discriminability `y` should allow arbitrary type or make docs more clear

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xrobin / pROC

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Display and analyze ROC curves in R and S+

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

Updated Sep 2, 2021
R

yug95 / MachineLearning

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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

Updated Jan 23, 2021
Jupyter Notebook

erdogant / distfit

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Python package for probability density function fitting of univariate distributions of non-censored data

pdf pypi sse probability-distribution hypothesis-testing probability-statistics density-functions fitting-curve

Updated Sep 8, 2021
Jupyter Notebook

puolival / multipy

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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

Updated Oct 27, 2020
Python

Wilfred / propcheck

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Quickcheck/hypothesis style testing for elisp

emacs-lisp quickcheck hypothesis-testing

Updated Mar 1, 2021
Emacs Lisp

aschleg / hypothetical

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Hypothesis and statistical testing in Python

python statistics analysis statistical-inference statistical-tests inferential-statistics hypothesis hypothesis-testing statistics-library frequentist-methods nonparametric-statistics frequentist-statistics nonparametric-tests comparison-tests

Updated Aug 20, 2020
Python

tirthajyoti / R-stats-machine-learning

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Misc Statistics and Machine Learning codes in R

machine-learning r statistics neural-network random-forest clustering regression classification nearest-neighbors k-means decision-trees support-vector-machines hypothesis-testing principal-component-analysis

Updated Mar 20, 2021
R

PacktWorkshops / The-Data-Analysis-Workshop

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A New Interactive Approach to Learning Data Analysis

python data clustering linear-regression exploratory-data-analysis visual-analysis data-analysis logistic-regression feature-engineering visualizations hypothesis-testing pandas-profiling bivariate-analysis kolmogorov-smirnov-tests univariate-analysis

Updated Jan 27, 2021
Jupyter Notebook

karoliskoncevicius / matrixTests

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R package for computing multiple hypothesis tests on rows/columns of a matrix or a data.frame

fast package r matrix t-test hypothesis-testing rows anova wilcoxon-test

Updated Jan 20, 2021
R

fengliu90 / DK-for-TST

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This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).

hypothesis-testing two-sample-test

Updated Jun 21, 2021
Python

nirupamaprv / Analyze-AB-test-Results

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E-Commerce Website A/B testing: Recommend which of two landing pages to keep based on A/B testing

landing-page p-value e-commerce logistic-regression ab-testing conversion-tracking hypothesis-testing statsmodels

Updated Dec 21, 2017
HTML

thtang / Business-Analytics-Using-Statistical-Modeling

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BASM - 2017 Spring

statistics regression bootstrapping-statistics hypothesis-testing anova r-programming design-of-experiments business-analytics

Updated Apr 22, 2018
HTML

nfmcclure / DataScience350

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Notes for Data Science 350 Class

python data-science r neural-network genetic-algorithm linear-regression bayesian-methods hypothesis-testing teaching-materials

Updated Mar 7, 2017
Jupyter Notebook

drbenvincent / delay-discounting-analysis

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Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks

toolbox psychology hypothesis-testing discounting delay-discounting

Updated May 6, 2018
MATLAB

shashikumarraja / pytest_tutorial

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python testing automation pytest hypothesis-testing

Updated Nov 7, 2018
Python

wittawatj / kernel-mod

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NeurIPS 2018. Linear-time model comparison tests.

machine-learning kernel-methods hypothesis-testing interpretability model-comparison

Updated Feb 15, 2020
Jupyter Notebook

ligurio / lark-grammars

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Grammars suitable for lark parser and Hypothesis

testing grammars property-based-testing quality-assurance lark hypothesis hypothesis-testing grammar-fuzzer hypothesis-tests lark-grammars

Updated Dec 25, 2020
Python

djsutherland / igms

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Implicit generative models and related stuff based on the MMD, in PyTorch

python machine-learning pytorch statistical-tests kernel-methods hypothesis-testing maximum-mean-discrepancy generative-models

Updated Sep 24, 2020
Jupyter Notebook

JetBrains-Research / bioinf-commons

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Bioinformatics library in Kotlin

kotlin hmm bioinformatics progress methylation dataset fasta chip-seq sampling bed bam dataframe fastq mixture hypothesis-testing 2bit cancellable dna-sequence

Updated Jul 16, 2021
Kotlin

RafaelArutjunjan / InformationGeometry.jl

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Methods for computational information geometry

kullback-leibler-divergence hypothesis-testing profile-likelihood parameter-inference manifolds geodesics fisher-information confidence-regions

Updated Sep 2, 2021
Julia

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