A Python package for the statistical analysis of A/B tests.
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May 4, 2025 - Python
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t-test
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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
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Feb 26, 2025 - Jupyter Notebook
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
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Mar 25, 2025 - Jupyter Notebook
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May 4, 2025 - Python
Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable
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Jan 8, 2019 - HTML
R package for computing multiple hypothesis tests on rows/columns of a matrix or a data.frame
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Jun 7, 2024 - R
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
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Jul 19, 2020 - Python
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
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Dec 31, 2020 - Jupyter Notebook
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
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Mar 31, 2025 - R
Marketing Campaigns A/B Testing on Jupyter Notebook
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Mar 5, 2021 - Jupyter Notebook
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
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May 2, 2022 - Jupyter Notebook
High School SSVEP-BCI Research Project to improve classification accuracy of captured EEG signals
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May 31, 2019 - C#
🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.
ggplot2 r sentiment-analysis tidyverse data-visualization linguistics r-markdown t-test data-analysis ttr hypothesis-testing r-programming textual-analysis regression-analysis type-token-ratio linguistic-analysis r-studio significance-testing r-scripts amazon-food-reviews
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Apr 28, 2025 - R
Pancreatic Cancer Biomarkers Identification Codes & Files
rstudio geo python3 t-test biomarkers pancreatic-cancer differentially-expressed-genes differentially-expressed-micrornas gse15471 gse16515 gse28735 gse41372
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Jul 23, 2019 - Python
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
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Feb 28, 2025 - MATLAB
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
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Dec 21, 2020 - Python
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.
statistics apa reporting fisher t-test robust inferential-statistics assumptions parametric anova kruskal-wallis wilcoxon friedman apa-style repeated-measures-anova paired-samples independent-samples rank-sums inferential-testing
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Jul 23, 2024 - R
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
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Nov 5, 2022 - Jupyter Notebook
Retrieving, Processing, and Visualizing Data with Python
python statistics math graph mean t-test probability-distribution retreiving-data scipy variance matplotlib pearson anova visualize-data measures-of-central-tendency lastra-lab z-score inferencial spearman t-statistic
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May 1, 2018 - Python
A Machine Learning-based approach to classify COVID-19 Vaccine Willingness and Hesitancy severity among people in Qatar based on survey outcomes.
machine-learning jupyter-notebook python3 statistical-analysis t-test anova vaccine covid-19 pycaret vaccine-willingness vaccine-hesitancy
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Sep 30, 2021 - Jupyter Notebook
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