Predicting Income Levels Using Machine Learning Models

This presentation explores the development and application of machine learning models, starting with an introduction to project goals and dataset insights. It delves into data preparation, preprocessing for training, and key predictors. Model building, with a focus on Gradient Boosting and addressing class imbalance, is highlighted. A real-life demo demonstrates practical applications, discussing challenges like bias and teamwork dynamics. The presentation concludes with future improvement...