In this project we try to predict income and gender using US Census Data. We will use classification models to try to predict both variables. Before we try out the different classification models there was some data exploration and processing that had to occur first: 1 - Since income data was a numerical variable, we changed it to a categorical variable where the income was either <= 50k or >50k. 2 - We deal with missing and duplicate values 3 - Removal of outliers 4 - Correlation between features 5 - One-hot-encoding categorical variables 6 - Splitting data into training and test Data