About

This canvas builds a complete flight delay prediction analysis pipeline: it generates synthetic flight data (50K records), cleans and engineers features, then performs comprehensive exploratory data analysis (EDA) across four dimensions—by airline, day of week, hour of day, and origin airport—before training a Random Forest classifier to predict delays and visualizing feature importance and model performance metrics.