This project analyzes the Adult Income Census dataset to predict whether individuals earn over $50K per year based on demographic and employment features. It includes data preprocessing, exploratory analysis, feature engineering, and implementing models like Logistic Regression, SVM, and MLP, with evaluation using accuracy, F1-score, and ROC-AUC.