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e10v /tea-tasting

Star289

A Python package for the statistical analysis of A/B tests.

statistics t-test ab-testing delta-method cuped

UpdatedMar 16, 2025
Python

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

statistics machine-learning-algorithms probability feature-selection t-test markov-blanket minimal-features

UpdatedFeb 26, 2025
Jupyter Notebook

yug95 /MachineLearning

Star114

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

UpdatedSep 7, 2023
Jupyter Notebook

christianbrodbeck /Eelbrain

Star70

python statistics meg eeg t-test anova mass-univariate-analysis

UpdatedMar 3, 2025
Python

sanjeevai /trading-with-momentum

Star56

Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable

t-test algorithmic-trading returns momentum-strategy

UpdatedJan 8, 2019
HTML

karoliskoncevicius /matrixTests

Sponsor

Star36

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

UpdatedJun 7, 2024
R

jlolivaresp /Tesis

Star29

Data driven fault detection in chemical processes: Application to Tennessee Eastman Plant

python machine-learning automation algorithms thesis numpy spanish chemical-engineering t-test matplotlib knn-classification fault-detection f-test chemical-process

UpdatedJul 19, 2020
Python

zhaoxin1124ds /Lithofacies-classification-using-machine-learning

Star14

Supervised classification to predict rock facies and a T-test flow to evaluate the prediction performance.

random-forest t-test matplotlib svm-classifier gradient-boosting knn-classification supervised-learning-algorithms facies adjacent-facies

UpdatedDec 31, 2020
Jupyter Notebook

Statistics-and-Machine-Learning-with-R /Statistical-Methods-and-Machine-Learning-in-R

Star13

This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

machine-learning statistics rstudio t-test supervised-learning pca artificial-neural-networks decision-tree pcoa mann-whitney unsupervised-machine-learning data-evaluation anova-test anosim-test u-test

UpdatedMay 4, 2023
R

irsyadas /ab-testing-python

Star11

Marketing Campaigns A/B Testing on Jupyter Notebook

python marketing python3 t-test ab-testing

UpdatedMar 5, 2021
Jupyter Notebook

raj-shr-git /Statistical_testing_python

Star10

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

statistical-analysis t-test statistical-tests bootstrapping-statistics manova f-test z-test post-hoc-analysis hypothesis-tests anova-test normality-test paired-tests homogenity-test

UpdatedMay 2, 2022
Jupyter Notebook

RandyDeng /SSVEP-BCI-Research

Star10

High School SSVEP-BCI Research Project to improve classification accuracy of captured EEG signals

csharp matlab t-test eeg-signals bci brain-computer-interface ssvep

UpdatedMay 31, 2019
C#

Srizon143005 /PancreaticCancerBiomarkers

Star7

Pancreatic Cancer Biomarkers Identification Codes & Files

rstudio geo python3 t-test biomarkers pancreatic-cancer differentially-expressed-genes differentially-expressed-micrornas gse15471 gse16515 gse28735 gse41372

UpdatedJul 23, 2019
Python

dple /Statistical_data_analysis

Star6

This project implements in Python some common statistical analysis methods used in data analysis, including Entropy, Mutual Information, Kolmogorov–Smirnov test, Kullback-Leibler divergence (KLD), AB tests (Mann-Whitney U and t-tests)

python statistics entropy signal-processing matlab information-theory least-squares t-test kullback-leibler-divergence mutual-information ab-tests statistical-data-analysis ks-test side-channel-analysis u-test mann-whitney-u-test ecdf-distance

UpdatedFeb 28, 2025
MATLAB

Tejindersingh1 /Tumor-Prediction-with-ML

Star6

Tumor prediction from microarray data using 10 machine learning classifiers. Feature extraction from microarray data using various feature extraction algorithms.

python svm t-test cancer-genomics logistic-regression microarray-data gaussian-processes recursive-feature-elimination machine-learning-classifiers cancer-prediction sklearn-classifier meta-dataset gene-expressions

UpdatedDec 21, 2020
Python

28101991SUNNY /Statistics_study

Star5

about statistical techniques for Data Science

probability mathematics t-test bootstrapping-statistics parametric hypothesis-testing gaussian-distribution central-limit-theorem chi-square-test confidence-interval kolmogorov-smirnov-tests nonparametric-statistics bayes-theorem qqplots post-hoc-analysis inferencial-statistics proportion-test anova-analysis

UpdatedNov 5, 2022
Jupyter Notebook

matcasti /writR

Star5

writR: is an R package for automated inferential testing (for group differences) and reporting based on parametric assumptions, which are tested automatically for test selection.