Prediction of Youth Unemployment in Rwanda Using Machine Learning
This project focuses on predicting youth unemployment in Rwanda using machine learning techniques.
The analysis is based on data from the National Institute of Statistics of Rwanda (NISR) Labor Force Survey dataset.
The goal is to identify key factors influencing unemployment among youth and to build predictive models that estimate the likelihood of being unemployed.
The findings can support policymakers, researchers, and institutions in designing targeted interventions to reduce youth unemployment.