Lean Six Sigma with Python — Kruskal Wallis Test
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Updated
Oct 19, 2024 - Jupyter Notebook
Lean Six Sigma with Python — Kruskal Wallis Test
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.
Easy statistical testing on the web
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Some R and Python code I've been working on.
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📉 Statistical Analysis
[MATLAB] A toolbox containing the standard non-parametric tests used.
Hypothesis testing on datasets
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Anova and Ancova with Kruskal-Wallis test to check the relationship between independent and dependent variables on bike rental history..
Explored the relationship between curricular complexity and study abroad participation across the 48 largest majors at Purdue University via correlation analysis, non-parametric tests, and posthoc tests
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This repository contains an ML workflow to predict house prices in Ames, Iowa. This project work is carried out under the Machine Learning module of the GeoDSc track of the Copernicus Master in Digital Earth.
This project explores Yulu bike rental data to analyze user demand, seasonal trends, and environmental influences on ride volume. Additionally, hypothesis testing was performed to statistically validate key assumptions regarding rental patterns.
An Exploratory Data Analysis into the impact of pre-harvest growth factors in hydroponic farming
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