Group2_FA4

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.

R Markdown tutorial on basic data wrangling using dplyr and tidyr. Covers importing customer CSV data, inspection, selection, filtering, mutating, handling missing values, grouping/summarizing, sorting, and exporting results.