{"skill":{"slug":"cost-prediction","displayName":"Cost Prediction","summary":"Predict construction project costs using Machine Learning. Use Linear Regression, K-Nearest Neighbors, and Random Forest models on historical project data. Train, evaluate, and deploy cost prediction models.","tags":{"latest":"2.0.0"},"stats":{"comments":0,"downloads":1359,"installsAllTime":7,"installsCurrent":7,"stars":0,"versions":2},"createdAt":1770475837999,"updatedAt":1777525033726},"latestVersion":{"version":"2.0.0","createdAt":1770999154376,"changelog":"Major update: Adds comprehensive guidance and code for construction cost prediction using multiple ML models.\n\n- Introduces an in-depth SKILL.md with project overview, methodology, and book reference.\n- Provides detailed code snippets for data preparation, feature engineering, and handling inflation adjustments.\n- Offers step-by-step instructions for training and evaluating Linear Regression, K-Nearest Neighbors, Random Forest, and Gradient Boosting models.\n- Includes model evaluation metrics (MAE, RMSE, R², MAPE) and feature importance analysis.\n- Enables easy model comparison for optimal selection.","license":null},"metadata":null,"owner":{"handle":"datadrivenconstruction","userId":"publishers:datadrivenconstruction","displayName":"datadrivenconstruction","image":"https://avatars.githubusercontent.com/u/94158709?v=4"},"moderation":null}