Problem Statement: Meredith's National Media Group reaches more than 180 million unduplicated American consumers every month, including over 80 percent of U.S. millennial women. Meredith is the No. 1 magazine operator in the U.S., and owner of the largest premium content digital network for American consumers. They are interested in marketing to parents, especially given that Parents Magazine is one of their most popular publications. It is believed that differentiating between pregnant people and those beyond pregnancy will help the marketing team to develop future campaigns that can be more directed. My work aims to come up with a way to distinguish between these two groups and the types of things that people in those groups post about to give information to the Marketing team at Meredith’s Corporation. I will develop multiple classification models, including a RandomForest, KNearestNeighbors, and LogisticRegression, and I will try ensembling as well to attempt to improve my mod