Agent skill · research science · datadrivenconstruction
ml-model-builder
Build ML models for construction predictions. Train and evaluate custom models for cost, duration, and risk prediction.
Why this skill is useful
Provides domain-specific algorithms and metrics for construction-related ML predictions that the AI wouldn't reliably generate on its own.
What it needs
Requires python3 installed locally. About 5k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
ML Model Builder Business Case Problem Statement Construction prediction challenges: Complex relationships between variables Limited historical data utilization Need for multiple prediction targets Model validation and deployment Solution Comprehensive ML model building framework for construction predictions with data preprocessing, model training, evaluation, and export capabilities. Technical Implementation Quick Start Common Use Cases 1. Train Multiple Models 2. Feature Importance 3. Export Model Resources DDC Book: Chapter 4.5 - Future: Predictions and Machine Learning scikit-learn: https://scikit-learn.org/ Website: https://datadrivenconstruction.io
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/ml-model-builder