This repository implements a Collaborative Filtering algorithm.
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Jan 3, 2021 - Python
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pearsonr
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This repo implements scalable, reusable Python scripts to compute key effect size metrics—including Pearson’s r, Eta-squared, Partial Eta-squared, and Cohen’s d—to help quantify relationships and differences in data for statistical analysis.
python data-science statistics numpy pandas data-analysis effect-sizes cohens-d correlation-analysis p-values matplotlib-pyplot statmodels pearsonr real-world-applications scipy-stats effect-size-measurements
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May 21, 2025 - Jupyter Notebook
Using pearsonr and chi2_contingency from scipy stats to analyze data from the NBA (National Basketball Association) and explore possible associations.
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Feb 14, 2023 - Jupyter Notebook
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