Income Prediction on US citizens

This is the final project on the Bachelor's Machine Learning course at EMAp-FGV. The data used was obtained here. The objective is to predict if a given individual makes more or less than 50K USD per year.

Models used

• Perceptron
• Logistic Regression
• Tree methods
  • single tree
  • bagging
  • random forest
• Support vector machine