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Session 5, Intro to ML, UniLu. 25/26
Session 5 of the course "Introduction to Machine Learning in the Social Sciences" by Adrian Stanciu & Erik Paessler, University of Luxembourg, FHSE, 25/26
Session 4, Intro to ML, UniLu. 25/26
Session 4 of the course "Introduction to Machine Learning in the Social Sciences" by Adrian Stanciu & Erik Paessler, University of Luxembourg, FHSE, 25/26
Session 3, Intro to ML, UniLu. 25/26
Session 3 of the course "Introduction to Machine Learning in the Social Sciences" at the University of Luxembourg, FHSE, 2025/2026,
by Adrian Stanciu & Erik Paessler
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PayTV_Customer_Churn_Analysis
Document
Project file Week 5
Exploratory Data Analysis of Text Data
This report presents exploratory analysis of blogs, news, and Twitter datasets for predictive text modeling.
ÖPNV-Wüsten Münster.HTML
Beschreibt die Bevölkerung in Münster, die nicht im Haltestellen-Einzugsbereich liegt. (basieren auf den 06.05.2026, Haltestellen-Einzugsbereich beschreibt alle in 15 Minuten erreichbaren Orte von einer Haltestelle aus, es werden nur Haltestellen in Münster betrachtet und an welchen mindestens 16 Busse abfahren)
030-082-170_Multivariate Analysis - SEM
This is the documentation of our project that applies Covariance-Based Structural Equation Modeling (CB-SEM) to analyze how Perceived Organizational Support, Job Satisfaction, and Work-Life Balance influence employees' Intention to Stay.