Emigration is a significant global phenomenon that impacts both the countries of origin and destination. The primary objective of this project is to use machine learning to analyze historical emigration data and predict future trends based on various factors such as region, country, income levels, and other relevant attributes. Visualizations such as histograms, scatter plots, and heatmaps will be used to present our findings. Some key questions that we will address are as follows: Which regions have the highest Emigration rates? How do income levels affect emigration patterns? And are there any significant trends over time? A detailed report will be compiled, summarizing the methodology, analysis, predictions, and conclusions. The findings will be presented through a well-structured presentation, highlighting key insights and conclusions. In conclusion, we hope to create an accurate and comprehensive artificial intelligence model using machine learning in order to predict emigration trends around the world.
