Stop Hand-Cranking ML Features (The LLM Fix)

Are your predictive models stalling out? You might be a victim of manual feature engineering. In this episode, we break down why human-bottlenecked feature discovery is killing your predictive metrics and injecting undocumented subjectivity into your models. We lay out exactly how to fix it using Google Colab, covering the low-budget "Prompt & Paste" method (Path A) versus the high-ROI programmatic API pipeline (Path B). Plus, we reveal the one massive data leakage trap you need to avoid when letting AI touch your schema.Timestamps:0:00 - The iteration bottleneck in modern ML.5:15 - Path A: The Low-CapEx Prompt & Paste workflow.12:30 - Path B: Building an API-driven feature pipeline.20:00 - The Elephant in the room: Avoiding silent data leakage