The "Liquor Licenses" dataset provides information on the locations and owners of liquor license holders within Baltimore City. It includes details such as license types, and locations, and is intended for public access. It is categorized as geospatial data and is maintained by the City of Baltimore.

In this analysis, I used the Haberman dataset to build a neural network that predicts the survival status of patients who underwent breast cancer surgery. After preprocessing the data, I trained the model using key features like age, year of operation, and the number of positive lymph nodes. The model's accuracy was fairly high, indicating it performed well in distinguishing between survivors and non-survivors.