ITonlinelearning Academy

Section 1: Setting Up Your Environment

Section 2: Loading and Exploring Your Dataset

Section 3: Training-Testing Split

Section 4: Building a Baseline Model

Section 5: Evaluating Your Model

Section 6: Building a Pipeline

Section 7: Cross-Validation and Comparing Models

Section 8: Spotting Overfitting and Underfitting

Section 9: Final Model and Interpreting the Results

SECTION 10: Key Takeaways and Next Steps

Solution