Keywords: Global, Annual
The project's purpose is to utilize deep learning techniques for predicting global annual population growth. By analyzing historical data from 1951 to 2020, the project aims to create a model that can forecast future population trends. This could offer valuable insights for understanding and planning around worldwide demographic changes.
Aim
To Predict the Global Annual Population Growth using DL Techniques
Objective
Prepare annual population growth data (1951-2020) for deep learning input. Develop a deep learning model to analyze and understand population growth patterns. Train the model to forecast population growth trends beyond 2020 for predictive insights.
ANN Technique used
Jupyter, Google Collab
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