Contains code, data preprocessing scripts, and analytical workflows used in an MSc dissertation investigating voter susceptibility to electoral malpractice in Nigeria. The project applies machine learning techniques to survey-based socioeconomic, institutional, and behavioural data to model and predict vulnerability to electoral manipulation.
# Modelling-Voter-Susceptibility-to-Electoral-Malpractice
Contains code, data preprocessing scripts, and analytical workflows used in an MSc dissertation investigating voter susceptibility to electoral malpractice in Nigeria. The project applies machine learning techniques to survey-based socioeconomic, institutional, and behavioural data to model and predict vulnerability to electoral manipulation.