Predicting Climate Model Simulation Crashes with Python: Data Science Tutorial скачать в хорошем качестве

Predicting Climate Model Simulation Crashes with Python: Data Science Tutorial

Learn to predict scientific simulation failures using real climate model data and Python. This lesson covers the complete workflow from data prep to model interpretation for a rare-event classification problem. Overview of climate simulation crash data and its challenges Exploration of data balance, missing values, and feature statistics Visual analysis: class imbalance, feature distributions, correlations, and PCA Preprocessing steps: scaling and dimensionality reduction Train/test splitting with stratification and reproducibility Building and evaluating a Random Forest classifier with class imbalance considerations Model diagnostics: classification report, confusion matrix, ROC AUC Feature importance analysis, model simplification, and error/debugging demonstrations Exporting predictions for further analysis Summary of best practices and next steps for modeling simulation data #climate #python #datascience