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spearman-correlation

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Ofekirsh / statistical-theory-meets-real-data

Jupyter Notebook applying statistical theory to housing price prediction, using techniques like the Kolmogorov–Smirnov test, Box-Cox transformation, Pearson/Spearman correlations, chi-square tests, and feature importance, with analysis of prediction accuracy across price ranges.

analysis linear-regression statistical-tests theory transformation statistical chi-square-test pearson-correlation box-cox ames-housing-dataset spearman-correlation

Updated Mar 31, 2025
Jupyter Notebook

ElaChaabane / Educational-Performance-Analysis

analyse student exam performance using nonparametric statistical methods

r statistical-analysis kruskal-algorithm nonparametric dunn-s-test student-performance spearman-correlation

Updated Dec 25, 2024
R

schatzederwelt / customer-churn-prediction

Предиктивный анализ оттока клиентов

python random-forest pandas classification data-analysis logistic-regression upsampling data-pipelines decision-tree learning-curve classification-report downsampling-data pearson-correlation precision-recall-curve downsampling validation-curve dummy-classifier spearman-correlation relative-frequency-table

Updated Nov 7, 2022
Jupyter Notebook

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