Affiliation:
1. Mohan Babu University, India
2. Sree Vidyanikethan Engineering College, India
Abstract
When we consider data analysis and machine learning, we usually discover it beneficial for business applications. However, both have immense potential to assist in the resolution of a wide range of issues which are classified as “social phenomena”. The aim of the project is to offer a machine learning solution for a problem that falls under that category: human migration. The project's main goal is to research datasets, preprocess datasets, develop a machine learning model to predict whether a country's net human migration rate (the number of incoming human migrants vs the number of outgoing human migrants) fell into the category of positive or negative. The methodology involves data pre-processing, feature engineering, and the application of machine learning algorithms such as decision trees, neural networks. The model is trained and validated using historical data, ensuring its accuracy and generalizability.
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