Predictive Analytics Model Selection Guide

Produces a structured recommendation for which predictive modeling approach (regression, classification, clustering, time-series forecasting, NLP, etc.) best fits a described business problem. Covers data requirements, interpretability vs. accuracy trade-offs, build complexity, and deployment considerations. Uses a decision-tree style diagnostic.