US Census Classifier
For this project, a dataset from the American 1994 Census is explored and used to train a classifier. The data is stored in tabular format and contains over 16,000 samples. The objective is to implement a binary classifier that can predict whether a person makes over $50,000 a year using the dataset. The dataset has the following 11 attributes: Age, Education-num, Hours-per-week, Work class, Education, Marital-status, Occupation, Relationship, Race, Sex, Native-country with Salary as target variable.