A web app for Flight Delay Prediction using Random Forest Classifier
1st place solution (grad division) in 2020 TAMIDS Data Science Competition
ML model predicts total flight delays using real-world data (carrier, weather, airport, etc.) with Linear, RF & GB regressors. Includes feature engineering & model comparison.
Visualization of Flights Delays in the US
A machine learning pipeline using PySpark to predict flight arrival delays based on departure delays, timing, and aircraft metadata from the 2007 US DOT dataset.
A complete ML pipeline for predicting flight delays, including EDA, feature engineering, modeling, SHAP analysis, and error analysis.
Presentation Link: https://www.youtube.com/watch?v=MNy65IYIx24&t=13s
My Research Project on the prediction of Flight Delay due to Weather Conditions. Provided by Solarillion Foundation.
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