Demographic info, technical logs, or incident-based data (e.g., timestamps, location coordinates, event types).
Usually contains a single large CSV or Excel file intended for processing in Python (Pandas) or SAS . Common Analysis Workflow Siu0207_2019.zip
Cleaning null values and generating 10+ visualizations to find correlations. Demographic info, technical logs, or incident-based data (e
While the exact columns depend on the specific version, students typically analyze these features for classification or regression tasks: or incident-based data (e.g.
Do you need a to extract and load this specific zip into a dataframe?
Is this for a specific (like a churn prediction or accident severity model)?
Creating confusion matrices and ROC curves to evaluate model performance.