Evaluated and optimized different supervised learners to determine an algorithm that provides high donation yield while also reducing overhead cost of sending mails for a fictitious charity organization CharityML
Link for Dataset: https://archive.ics.uci.edu/ml/datasets/Census+Income
Dataset contains following features:
age: continuous variable
workclass: categorical variable
education: Ordinal variable
education-num: continuous
marital-status: categorical variable
occupation: categorical variable
race: categorical variable
sex: categorical variable
capital-gain: continuous variable
capital-loss: continuous variable
hours-per-week: continuous variable
native-country: Categorical variable
income: >=50K or <= 50K: Ordinal variable