Airline Customer Satisfaction Predictive Modelling using Python, Jupyter Notebook.
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.
Предиктивный анализ оттока клиентов
Transversal project in R: Biostatistical análisis applied to genetic expression
analyse student exam performance using nonparametric statistical methods
Statistical analysis of birthweight and related predictors using Python
Java implementation for correlation coefficients
Add a description, image, and links to the spearman-correlation topic page so that developers can more easily learn about it.
To associate your repository with the spearman-correlation topic, visit your repo's landing page and select "manage topics."