The project is about analyzing data of grown-ups to know what affects their income, whether it is more than 50 thousand dollars a year or less. The data has 48,842 people and 15 factors like age, job type, sample weight, education, years of education, marital status, job relationship, race, gender, profit, loss, hours worked, original country, and income. The goal is to make a model to predict if income is more or less than 50 thousand dollars. We work on arranging the data, analyzing it, adjusting it if needed, and training the model. In the end, we understand what affects income and provide a simple, clear report for everyone. For this data, we also process it carefully to understand it well and prepare it for the model by organizing it, cleaning it from errors or missing values, and adjusting it if necessary to make it suitable. We analyze it to see the relationships between age, job, education, and other factors that impact income, and finally, we deliver a simple, clear report that conveys the idea to all people.