Statistical package for fast exact tests and simulations
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Oct 16, 2022 - Python
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friedman-test
Here are 9 public repositories matching this topic...
A blackbox statistical optimization approach to find genetic signatures in scRNA-seq data
parallel-computing scrna-seq gradient-descent blackbox-optimization exhaustive-search embarrassingly-parallel friedman-test
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Feb 3, 2023 - C++
Como descrever meus dados? Quais testes estatísticos devo usar? Síntese dos testes estatísticos (introdutórios) que podem ser usados em uma análise de dados em saúde.
statistics anova mann-whitney kolmogorov-smirnov pearson-correlation kruskal-wallis shapiro-wilk wilcoxon-test friedman-test dagostino-test
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Oct 20, 2022
Emotion Analysis with Transformers
sentiment-analysis metrics tokenizer pytorch p-value emotion-analysis nlp-machine-learning word2vec-embeddinngs balanced-accuracy distilbert huggingface-transformers friedman-test matthews-correlation-coefficient roberta-large custom-bert-model dataloader-constructor models-ranking
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Feb 24, 2026 - Jupyter Notebook
Apply Supervised Learning Algorithms using Python to predict breast cancer, diabetes, etc.. diseases.
python machine-learning svm naive-bayes machine-learning-algorithms supervised-learning artificial-neural-networks support-vector-machine confusion-matrix decision-trees ann knn naive-bayes-algorithm dt decision-tree-algorithm supervised-machine-learning supervised-learning-algorithms knn-algorithm friedman-test support-vector-machine-algorithm
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Jul 17, 2023 - Python
Parametrik olmayan istatistiksel yöntemler dersinin ödevi
mann-whitney post-hoc kruskal-wallis shapiro-wilk non-parametric-statistics wilcoxon-test friedman-test
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Jun 27, 2024 - Jupyter Notebook
Three datasets, Drug consumption, labor negotiation, and Heart disease are oversampled and undersampled and 6 algorithsm(SVM, DT, K-Neighbors, RandomForest, MLP, GradientBoosting) are modeled and their accuracies are tested. Performed Friedman to find difference between performances
machine-learning decision-trees svm-classifier gradient-boosting random-forest-classifier mlp-classifier data-imputation knn-classifier friedman-test
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Jan 26, 2023 - Jupyter Notebook
R programming and its application to data analysis and statistical methods
data-science statistics p-value t-test data-analysis logistic-regression linear-model bootstrapping-statistics anova r-programming ggplot poisson-regression ancova fisher-test statistical-hypothesis-testing friedman-test
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Mar 29, 2022 - R
A hybrid anomaly detection pipeline combining ensemble machine learning models and deep learning techniques for credit card fraud detection. Evaluates 25 model combinations across multiple datasets and validates performance using McNemar and Friedman statistical tests.
machine-learning deep-learning scikit-learn pytorch statistical-analysis ensemble-learning fraud-detection anomaly-detection credit-card-fraud-detection friedman-test mcnemar-test
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Apr 26, 2026 - Python
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