Predictive Modeling Guides: A Practical Audio Workbook for Building, Evaluating, and Deploying Real-World Machine Learning Models

Brian Hargrove

Master predictive modeling and machine learning to turn raw data into powerful business strategies without writing code. Whether you are upskilling during your morning commute or leading a data project, this empowering guide demystifies complex...

Premium Chapters

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Opening Credits

1/13/2026

Chapter 1: From Guesswork to Guided Decisions What Predictive Modeling Really Is

1/13/2026

Chapter 2: Choosing the Right Question Framing Practical Prediction Problems

1/13/2026

Chapter 3: From Raw Records to Reliable Tables Gathering and Cleaning Data

1/13/2026

Chapter 4: Designing the Ingredients Feature Thinking without the Math

1/13/2026

Chapter 5: Meet the Model Families Lines Trees and Crowds of Models

1/13/2026

Chapter 6: Teaching Models to Learn Training Tuning and Avoiding Overfitting

1/13/2026

Chapter 7: Judging Model Quality Metrics for Classification and Regression

1/13/2026

Chapter 8: Making Models Understandable Interpreting and Explaining Predictions

1/13/2026

Chapter 9: Building Fair and Trustworthy Models Handling Bias and Real World Pitfalls

1/13/2026

Chapter 10: From Notebook to Real World Deploying Monitoring and Iterating Models

1/13/2026

Closing Credits

1/13/2026