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Burnout
This scripts refers to the a survey analysis included in a doctoral thesis focuses on the study of burnout within three central government organisations in Portugal. A sociological lens and a multilevel analysis perspective were adopted to understand the causal determinants of burnout related to the idiosyncrasies of public administration, and the model of work organisation. The methodology combines structural, organisational, relational and individual analysis. A mixed methods approach was used, comprising of a triangulation between documentary analysis, a survey, and semi-structured individual interviews. This script refers to the analysis of a survey administered to 213 civil servants that was included in the thesis.
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Logistic Regression and Random Forest to Determine Credit Card Default (Version 4)
In this session, I examine the Credit Card Clients data set found on the UCI Machine Learning Repository website to determine if a person will default on their credit card using logistic regression and random forest. This is the fourth version of the document
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