Final Project - Can Demographic, Economic, and Environmental Indicators predict or explain Migration trends in a developed world?
This repository contains the final project for the bootcamp. The project explores the relationship between demographic, economic, and environmental indicators and migration trends in a developed world. It includes machine learning models for predicting migration class and net migration based on the provided dataset.
The repository includes the following files:
- Final Presentation PPT - Click to open and download - This file contains the final presentation for the project, summarizing the insights and findings.
- Final Project (1960-2021).ipynb - Click to open. This Jupyter Notebook contains the main project code and analysis, covering the period from 1960 to 2021.
- Final Project-Class-Model (MigrationClass).ipynb - Click to open. This Jupyter Notebook focuses on the machine learning model for predicting migration class.
- Final Project-RegModel (NetMigration).ipynb - Click to open. This Jupyter Notebook focuses on the machine learning model for predicting net migration.
- data.csv - Click to open. This CSV file contains the dataset used for the analysis, including demographic, economic, and environmental indicators for 100 countries from 1960 to 2021.
- README.md - This README file provides an overview of the project and the files included in the repository.
For a visual representation of the project findings, you can view the Tableau Presentation (Click to open). The presentation provides additional insights and visualizations related to the project.
Feel free to explore the files and use the information provided in your own analysis.