Learn step-by-step
You will walk you through these steps:
Task 1: Import the modules that will do all the work
Task 2: Import the data
Task 3: Missing Data Part 1: Identifying Missing Data
Task 4: Missing Data Part 2: Dealing With Missing Data
Task 5: Format Data Part 1: Split the Data into Dependent and Independent Variables
Task 6: Format the Data Part 2: One-Hot Encoding
Task 7: Build A Preliminary Classification Tree
Task 8: Cost Complexity Pruning Part 1: Visualize alpha
Task 9: Cost Complexity Pruning Part 2: Cross Validation For Finding the Best Alpha
Task 10: Building, Evaluating, Drawing, and Interpreting the Final Classification Tree