Predictive Modeling: A Practical Audio Guide to Building Reliable Models, Avoiding Common Traps, and Turning Data Into Actionable Forecasts

Christopher Daley

Master practical data science and build reliable business forecasts without needing a degree in machine learning. Perfect for your daily commute, this audio-first guide demystifies the complex world of predictive analytics for non-technical...

Premium Chapters

Premium

Opening Credits

1/13/2026

Chapter 1: From Reports To Predictions Why Predictive Modeling Matters

1/13/2026

Chapter 2: Asking The Right Question Framing A Prediction Problem

1/13/2026

Chapter 3: Getting The Raw Material Understanding And Collecting Data

1/13/2026

Chapter 4: Turning Data Into Signals The Art Of Feature Creation

1/13/2026

Chapter 5: Avoiding Hidden Traps Leakage Bias And Data Pitfalls

1/13/2026

Chapter 6: Meet The Models Regression Trees And Simple Time Based Methods

1/13/2026

Chapter 7: Boosting Brainpower Ensembles And When To Reach For Them

1/13/2026

Chapter 8: Is It Any Good Evaluating And Comparing Models

1/13/2026

Chapter 9: From Black Box To Story Explaining And Monitoring Models In Use

1/13/2026

Chapter 10: Putting It All Together A Blueprint For Responsible Predictive Projects

1/13/2026

Closing Credits

1/13/2026