While the exact columns depend on the specific version, students typically analyze these features for classification or regression tasks:
Cleaning null values and generating 10+ visualizations to find correlations. Siu0207_2019.zip
Applying Logistic Regression or Decision Trees to predict outcomes based on the features. While the exact columns depend on the specific
馃挕 If you are using this for a course assignment, ensure you check for any "Data Dictionary" files inside the zip; these define every column (feature) and its measurement scale. To help you build the feature or model you need: Siu0207_2019.zip
Creating confusion matrices and ROC curves to evaluate model performance.