Analysis of Entrepreneurship Behaviour using Machine Learning (ML)

This GitHub repository contains a project that analyzes entrepreneurship behavior using machine learning techniques. The data used in this project comes from the Global Entrepreneurship Monitor (GEM) dataset.

Dataset

The GEM dataset is a large, internationally comparable dataset that provides information on entrepreneurship and the entrepreneurial ecosystem in over 100 countries. The dataset contains both individual-level and country-level data.

Project Overview

The aim of this project is to explore the relationship between different factors and entrepreneurship behavior using machine learning techniques. Some of the factors considered in this project include:

• Gender
• Age
• Education
• Employment status
• Industry
• Innovation

File Structure

The repository has the following file structure:

analysis-of-entrepreneurship-behaviour-using-ml/
├── data/
│   ├── gem_us_individual.csv
├── notebooks/
│   └── analysis.ipynb
├── README.md
└── requirements.txt

Conclusion

This project shows how machine learning techniques can be used to analyze entrepreneurship behavior. By exploring the relationship between different factors and entrepreneurship behavior, we can gain insights into how to encourage and support entrepreneurship around the world.