expss: Tables and Labels in R
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Updated
Oct 15, 2025 - R
expss: Tables and Labels in R
SPSS Statistics Professional Suite - Windows-focused build with a clean first-run path and complete professional modules enabled.
Seminar Research Class at UTD for PhD students in Criminology
Exploring the main time series analysis approaches: Decomposition, Exponential smoothing, ARIMA models. Using Excel, Matlab, SPSS statistics.
Majorly focus on python file debugging
Project for customer management in the Marketing Analytics Department of a large retail bank. The aim of this project is to know which marketing activity effectively retains customers. We have information about individual customer profitability (CLV) and a survey was conducted as well. A research model explaining/predicting individual customer p…
Applied Machine Learning and Natural Language Processing to build a Random Forest Classifier that filters malicious bots with 97% of accuracy.
Projet d'analyse en composantes principales réalisé en Python et SPSS.
Community fix to launch older Intel-only IBM SPSS Statistics on Apple Silicon macOS (Sequoia / Tahoe).
Multivariate analysis is conceptualized by tradition as the statistical study of experiments in which multiple measurements are made on each experimental unit and for which the relationship among multivariate measurements and their structure is important to the experiment's understanding. For instance, in analyzing financial instruments, the rel…
IST470 Categorical data analysis term paper.
Native macOS port of SPSS-MCP — let AI assistants drive IBM SPSS Statistics 20-31 on macOS through the Model Context Protocol. 23 analysis methods validated, triple output (OXML+SPV+HTML).
Buliding a predictive model to help the banks in predicting the probability of a customer defaulting in the future based on the historic data is the ultimate objective of the project . For which structured methodology is followed, in which the historic data of the customers are cleaned , splitted for testing and training , independency are check…
These additional exercises are projects in my university courses (statistical software-statistics and probability).
Two step cluster analysis was performed using SPSS in a health drink dataset to find the number of groups that can be formed based on the characteristics.
Speed Dating Experiment - Data analysis using SPSS and Excel
A statistical analysis project examining the antibacterial efficacy of citronella essential oil (Cymbopogon nardus) against Escherichia coli and Staphylococcus aureus. This analysis uses SPSS one-way ANOVA and post-hoc testing to evaluate experimental data.
All technical Solution under one umbrella
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