A web app for Flight Delay Prediction using Random Forest Classifier
1st place solution (grad division) in 2020 TAMIDS Data Science Competition
End-to-end flight delay prediction system using GCP, BigQuery ML, and Looker Studio — trained on 745K flights with weather and spatio-temporal features.
Airline Flight Delay Intelligence — 6.2M+ flights, 14 airlines, 628 airports, seasonal patterns, on-time performance, delay cause analysis | Python | Pandas | Matplotlib
PostgreSQL-based US flight delay diagnosis and attribution analysis project using BTS on-time performance data.
End-to-end ML pipeline to predict flight departure delays (>=15 mins) using flight & weather data.
Flight delay and connection risk analysis using EDA and machine learning, supporting the GateRunner concept.
ML model predicts total flight delays using real-world data (carrier, weather, airport, etc.) with Linear, RF & GB regressors. Includes feature engineering & model comparison.
Presentation Link: https://www.youtube.com/watch?v=MNy65IYIx24&t=13s
EC 261/2004 flight compensation claim agent — LangGraph.js, TypeScript, GDPR-first.
Visualization of Flights Delays in the US
Machine Learning project for predicting airline flight delays using Python, Scikit-learn, and data analysis.
Flight Delay Prediction - Predictive Systems project in AI / ML / GenAI for CSEProjects360 final year project catalog.
AI agent that checks your delayed flight, reads the UK and EU compensation rules live, works out what the airline owes you and fills in the airline's claim form in a recorded cloud browser. It never presses Submit. Built on Anakin for Anakin Forge 2026.
A complete ML pipeline for predicting flight delays, including EDA, feature engineering, modeling, SHAP analysis, and error analysis.
C2C — Cancellation to Compensation. A durable agent that stays with an airline disruption claim until it is actually resolved.
My Research Project on the prediction of Flight Delay due to Weather Conditions. Provided by Solarillion Foundation.
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.
To associate your repository with the flight-delay topic, visit your repo's landing page and select "manage topics."