Predicting Poverty Reduction in Nigeria: A Machine Learning Approach

Introduction

The health, education, and general well-being of Nigeria's population, especially its young people, are severely impacted by multifaceted poverty and child deprivation. In Nigeria, poverty is defined as having insufficient access to essential goods and opportunities. To answer the crucial research issue, "Can machine learning methods effectively predict and prescribe poverty reduction in Nigeria with limited datasets?" this data science project was started. Data collection, preprocessing, model creation, and evaluation were all steps in my approach. I will evaluate …

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