R-squared measure for categorical data goodness-of-fit analysis using the surrogate R-squared
-
Updated
Mar 19, 2024 - C++
R-squared measure for categorical data goodness-of-fit analysis using the surrogate R-squared
Applying multinomial logistic regression to predict student academic program type using socioeconomic and academic performance variables.
Applying binary logistic regression to predict loan approval outcomes using applicant information such as marital status, credit history, and property area. The analysis focuses on identifying the most important predictors of loan approval while evaluating model performance and assumptions.
A curated library of statistics books and reference materials covering probability, data analysis, inference, regression, machine learning, applied statistics and a lot more.
Exploratory statistical modeling of menstrual-hygiene awareness, product preferences, and switching behavior using survey data in R.
R-based logistic regression analysis of stroke risk factors, with model selection, odds ratios, ROC/AUC evaluation, and individual risk prediction.
📔 spMC: An R Package for Continuous-Lag Spatial Markov Chains
Havayolu yolcu memnuniyetini etkileyen faktörlerin SPSS ve R kullanılarak istatistiksel analizi ve lojistik regresyon ile modellenmesi.
Analysis code for Nature Climate Change paper: A global assessment of actors and their roles in climate change adaptation
A term project of the Biostatistics (2022) at NYCU-IST.
This Categorical Encoder App is a Streamlit-based web application designed to help data analysts and machine learning practitioners efficiently encode categorical data into numerical representations.
📂 A collection of resources that may be helpful for analyzing your categorical data (including trait data).
NYC Taxi analytics pipeline built with Spark SQL, Spark ML, HDFS and Structured Streaming
I’ve created this repository with small Python scripts that I’ve used, and tested for spatial analysis. These scripts contains categorical statistics to statistical trends for each pixel. Feel free to download and use them on your local machine. I also have a MATLAB version for some of them.
Exploratory Data Analysis using Python, Basics of Python, Python Fundamentals
Supplementary material for the article "Substantive individual differences in social desirability: Stability, change, and associations with personality traits and job satisfaction in a large-scale longitudinal survey"
To associate your repository with the categorical-data-analysis topic, visit your repo's landing page and select "manage topics."