A Python package for the statistical analysis of A/B tests.
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Dec 8, 2024 - 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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Dec 1, 2024 - 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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Sep 7, 2023 - Jupyter Notebook
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Dec 4, 2024 - 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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May 4, 2023 - R
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#
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
Marketing Campaigns A/B Testing on Jupyter Notebook
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Mar 5, 2021 - Jupyter Notebook
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
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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Dec 10, 2024 - MATLAB
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
I will include two ways of t tests that compare conversion rate and click through rate of two groups
adwords ipython-notebook python3 p-value t-test abtesting standard-deviation frequentist-statistics a-b-test
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Jul 5, 2018 - Jupyter Notebook
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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