Data Science Project: Flight anomaly detection analysis using NASA DASHlink data, featuring time-series feature engineering, vertical-acceleration anomaly detection, class imbalance handling, and machine learning models to predict rare Late Flaps events.
python data-science machine-learning random-forest scikit-learn xgboost classification feature-engineering time-series-analysis anomaly-detection logisitic-regression imbalanced-learning aviation-data flight-anomaly-detection nasa-dashlink
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Updated
Jun 28, 2026 - Python