US Census Income Prediction Project Author: Berke Kavak Date: 20/05/2024

Introduction This project aims to predict income levels based on US Census data. It serves as an end-to-end solution that includes data cleaning, processing, visualization, modelling, and result reporting.

Data Access Download Data: Access the dataset from here. Setup Data Directory: Create a data folder in the project directory: "mkdir data" Unzip the downloaded file and move all CSV files to the data folder. Notebook Overview The main notebook, "Census Income Prediction.ipynb", covers the following sections:

• Data Cleaning
• Data Processing
• Data Visualization
• Modelling
• Result Reporting

Finalized 3 models are compared with each other at the Results section.

Requirements Python Version: 3.8+ Required Libraries and Packages: pandas, numpy, optuna, plotly, lightgbm, xgboost, matplotlib sklearn, scipy, imblearn, IPython for displaying HTML within the notebook

Please email me if you have any questions: [email protected]