title: Python Developer
abstract: I need an Income predictor and someone who can explain how they did it. Using a dataset ( the "Adult Data Set") from the UCI Machine-Learning Repository we can predict based on a number of factors whether or not someone's income will be greater than $50,000. The technique The approach is to create a 'classifier' - a program that takes a new example record and, based on previous examples, determines which 'class' it belongs to. In this problem we consider attributes of records and separate these into two broad classes, <=50K and >50K. We begin with a training data set - examples with known solutions. The classifier looks for patterns that indicate classification. These patterns can be applied against new data to predict outcomes. If we already k...
keyphrases: uci machine-learning repository, python developer, adult data set, income predictor, new example record, training data, new data, previous examples, broad classes, classifier