An Application for Prediction of World Countries GDP

Gross Domestic Product (GDP) is an important metric for assessing the economic well-being of a nation. In this research paper, we will employ and compare multiple machine learning algorithms to predict the GDP across multiple countries and areas, including Linear Regression, SVM, Gradient boosting, and Random Forest. Ultimately created an API where users can enter the current values of parameters on which GDP depends, to get a more accurate prediction