A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.

Flight delays prediction and analysis: Machine Learning Approach

BJTU, trainning course, Predicting flight delays with weather data.

A machine learning at scale demo on flight delay prediction. The project includes an exploration of a series of data transformation and ML pipelines in Apache Spark (via Databricks).

Explore predictive modeling with this repository, featuring regression-based models applied to a comprehensive dataset on flight delays and cancellations. Gain insights into factors influencing air travel disruptions and leverage regression techniques to enhance predictions.

This project focuses on predicting flight delays using historical data from a Tunisian airline. We analyzed patterns in airport operations and flight schedules to build a machine learning model that can forecast potential delays.

Predicts flight arrival delays using operational flight features and a Random Forest model. Includes a Streamlit web application for interactive predictions.

A Two-Stage Predictive Machine Learning Engine to Forecast Flight On-Time Performance

In this repo i developed predict a flight delay using machine learning.

Python project hosted in Google Colab that provides data visualizations & an interactive interface for flight delay prediction leveraging random forest

Two stage model to predict if a flight is delayed and if so, the amount of delay in minutes. Trained using data from 18,00,000 flights of which ~ 30% were delayed

This repository is a project that dealing with the problem of Flight scheduling

How can we better estimate flight delays?

Flight Delay & Cancellation Prediction System using Machine Learning with an interactive Streamlit dashboard for real-time predictions and insights.

Exploring supervised learning models on flight delay predictions.

Forecasting flight arrival delays with Apache Spark and machine learning on airline performance data.

A machine learning-based flight delay prediction system that forecasts arrival delays and classifies flights as delayed or on-time based on various factors like NAS delays, departure delays etc. The project employs Linear Regression for delay prediction, Decision Tree for classification, and data visualization techniques for analysis

My Research Project on the prediction of Flight Delay due to Weather Conditions. Provided by Solarillion Foundation.

This web application predicts flight arrival delays using machine learning. Users can upload historical flight data to train a Linear Regression model and input specific flight details to receive real-time delay predictions.

Predicts flight delays in Brazil using ANAC data and machine learning techniques, including exploratory data analysis and model evaluation.