Income Evaluation

Income Classification Project

Developed a predictive model to determine if individuals earn over $50K annually using census data, incorporating features like age, education, occupation, and demographics. Implemented algorithms including KNN, Naive Bayes, Decision Tree, Random Forest, and SVM after comprehensive data preprocessing and feature engineering.

Tools: Python, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn.