Edna722/Omdena-Machakos-Unemployment

# Omdena-Machakos-Unemployment *This project aims to analyze the unemployment landscape in Machakos, Kenya, and explore solutions to help reduce unemployment rates through data-driven insights and strategic interventions. * By leveraging machine learning, data analysis, and other data-driven approaches, we aim to provide actionable insights for local governments, NGOs, and other stakeholders to develop better policies and programs aimed at reducing unemployment in the region. ## Project Overview * The unemployment rate in Machakos, a region in Kenya, continues to be a pressing issue, with many young people struggling to find employment. * This project seeks to understand the key factors contributing to unemployment and provide recommendations to alleviate this challenge. ## Key Goals: * Analyze unemployment trends and key factors contributing to joblessness in Machakos. * Develop predictive models to identify factors that influence unemployment rates. * Provide recommendations for stakeholders on how to effectively reduce unemployment. * Provide insights on job creation, skill development, and economic growth opportunities in the region. ## Problem Statement * Unemployment in Machakos is a major challenge, particularly for youth, leading to economic instability and a lack of opportunities for personal growth and community development. The project seeks to: ## Understand the underlying causes of unemployment in the region. * Identify economic trends and areas where interventions can create jobs. * Design data-driven solutions to optimize resources and implement targeted actions. ## Data Sources The project uses multiple data sources to understand unemployment patterns and job market conditions in Machakos. These include: * Local Government Employment Data: Data on unemployment rates, demographics, and education levels. * Survey Data: Collected data through local surveys to understand citizens’ employment status, challenges, and aspirations. * Economic Data: Nati …