بناء موديل للتنبأ التعداد السكاني

This project involves developing a model to predict the population of Egypt using linear regression and gradient descent algorithms. Initially, the model employed linear regression, which resulted in an error rate of 10-15%. To improve accuracy, gradient descent optimization was applied, reducing the error rate to an impressive 2%.