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This project implemented a lambda architecture for analyzing domestic flight data in the US from 2009 to 2020. It used Apache Spark for batch processing, Spark Streaming for real-time analysis, and SVM models to predict flight cancellations and delays, with Docker for cluster management and Grafana for real-time visualization.
Machine Learning Project for predicting if a flight will be delayed or not and estimating in minutes how much time there will be a delay in its departure or arrival using different machine learning classifiers and regressors.