Gender Inequality Project

In this project I analyse World Bank data on Gender statistics to predict and model the level of gender equality for 82 countries using machine learning models. I chose the target variable ‘Female share of employment in senior and middle management (%)’ as an indicator for gender equality.

This project was submitted as a final assignment for a Bootcamp in Ai and Machine Learning (Level 5) at Gateshead College, May to July 2025.

Reports

Gender_Inequality___Project_Plan.pdf: Initial project plan

Gender_Inequality___Final_Report.pdf: Final project report

Scripts

gender_data_cleaning.ipynb: Data cleaning

gender_eda.ipynb: Exploratory data analysis

gender_ml.ipynb: Machine learning modelling

Data

Data.zip: Data files

Plots.zip: Related plots