Projection of African Economy for the Next Decade using Linear Algebra and Applied Machine Learning

Abstract

Developing and implementing artificial intelligence (AI) systems effectively addresses several challenges related to the type of technology available, including ensuring that decision-making systems using machine learning are accurate, precise, understandable, and consistent with our human values. Given that values vary across cultures, an additional ethical challenge is to ensure that these AI systems are not developed in accordance with the unequivocal but questionable assumptions of universal practice but are relevant to the communities in which they operate. This is particularly important in the research and implementation of AI throughout Africa, an area where AI systems are used and will be used but also an area with a history of foreign investment. Africa's financial economy is facing major challenges affecting development and health. One of these challenges is having a bank account in Africa, which reflects the stable economic situation of the individual. There is a need to solve banking problems in Africa and to find solutions to banking problems research on this topic looks at the large number of people who do not have bank accounts compared to those who do and how this contributes to the collapse of the African economy. The corresponding research paper depicts the workflow and understanding the financial condition and designing a prediction system using statistical machine learning algorithms and thus categorizing them on basis of statistical accuracy metrics. The best performing model will be used and will tune the hyper-parameters to get the maximum accuracy results.