Applying Logistic Regression or Decision Trees to predict outcomes based on the features.
Usually contains a single large CSV or Excel file intended for processing in Python (Pandas) or SAS . Common Analysis Workflow Siu0207_2019.zip
While the exact columns depend on the specific version, students typically analyze these features for classification or regression tasks: Applying Logistic Regression or Decision Trees to predict
Demographic info, technical logs, or incident-based data (e.g., timestamps, location coordinates, event types). or incident-based data (e.g.