Box-Cox transformation in Julia
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Jan 27, 2025 - Julia
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box-cox-transformation
Here are 13 public repositories matching this topic...
Learn about Simple Linear Regression for Data Science
data-science correlation sklearn data-transformation ols-regression statsmodels prediction-model model-validation simple-linear-regression log-transformation box-cox-transformation
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Mar 27, 2022 - Jupyter Notebook
Projects for a biological data analysis course taught by Dr. Diane Thomson at the Keck Science Institute during Fall 2021.
biostatistics pca distance-matrices covariance-matrices nmds project-based-learning box-cox-transformation community-composition
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Aug 24, 2022 - R
Statistical analysis of the Los Angeles real estate market in form of assessed values and rental prices
range kappa nugget generalized-linear-models variograms generalized-estimating-equations gamma-regression box-cox-transformation krigging mixed-effects-gamma-regression spatial-statistical-analysis hovmoller-plots regression-krigging
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Aug 9, 2024
The R package ClusROC
r mixed-effects-models reciver-operating-characteristics biomaker optimal-threshold box-cox-transformation
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Nov 17, 2022 - R
A Python-based utility for testing and visualizing data transformations. Includes normality tests (Shapiro-Wilk and Lilliefors), a variety of transformation methods, and visual analysis tools for histogram and Q-Q plots.
data spss transformation normalization kolmogorov-smirnov shapiro-wilk yeo-johnson-transformations datatransformation box-cox-transformation lillie-test
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Jan 15, 2025 - Python
training testing r linear-regression modelselection modelvalidation linearmodel box-cox-transformation
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Sep 10, 2024
This repository contains assignments #3 that was completed as a part of "FIT5196 Data Wrangling", taught at Monash Uni in S2 2020.
python data-integration data-normalization data-reshaping log-transformation z-transform min-max-normalization power-transform box-cox-transformation
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Dec 31, 2024 - Jupyter Notebook
socio-economic segmentation analysis to identify global development patterns. We analyze key indicators: child mortality, income, and GDP per capita. Our analysis employs data cleaning, exploratory analysis, Box-Cox transformation for normalization, and KMeans clustering to segment countries into developmental categories
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Apr 23, 2024 - HTML
Applied Statistics I, 2021, UNC at Chapel Hill-linear regression
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Jan 13, 2023
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Dec 2, 2022 - Jupyter Notebook
Analysis of Skewness and Kurtosis in Stock Return data and their Transformations
autocorrelation skewness stationarity log-transformation kurtosis partial-autocorrelation adf-test box-cox-transformation
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Mar 28, 2024
A Python-based utility for testing and visualizing data transformations. Includes normality tests (Shapiro-Wilk and Lilliefors), a variety of transformation methods, and visual analysis tools for histogram and Q-Q plots.
data spss transformation normalization kolmogorov-smirnov shapiro-wilk yeo-johnson-transformations datatransformation box-cox-transformation lillie-test
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Feb 21, 2025
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