GDP PREDICTION FOR COUNTRIES USING MACHINE LEARNING MODELS
DOI:
https://doi.org/10.56801/jesne.v1i1.5Keywords:
Machine Learning, Linear Regression, Parameters, GDP.Abstract
The significance of GDP is demonstrated by the fact that it offers data on the size and functioning of an economy. Real GDP growth is frequently used as a measure of the state of the economy as a whole. Real GDP growth is typically regarded as a positive indicator of the state of the economy. The goal of this research is to forecast global GDP and determine its annual growth rate using machine learning. Since GDP varies from year to year, it is crucial to understand the status and importance of the variables that influence a country's GDP now. If you depict this in a diagram, it will be simpler to grasp. Additionally, the significance of the impacted parameters in determining GDP is calculated in this research-based study. Viewers may easily compare the GDP growth rates of other nations as well as their best and worst performance predictions. In this study, by using a variety of machine learning algorithms to analyse the global GDP.