This project analyzes and visualizes airline delay causes using data sourced from Kaggle. Additionally, it applies machine learning techniques to predict and understand factors …

Programming: Python (pandas, NumPy, scikit-learn) Visualization: Matplotlib, Seaborn; This project demonstrates the power of big data analytics in improving flight scheduling efficiency …

This project analyzes and predicts shipment delays using machine learning techniques. It includes data manipulation, feature engineering, model training, and visualization to provide actionable …

A delayed flight, which causes a last-minute shift in schedule and unneeded time in an airport, is every flier’s worst nightmare. To prevent fliers from having to deal with this inconvenience, our …

Jan 9, 2024 · A walk-through of our approach to building a real-time flight delay tracker in Python using event-driven machine learning and Ensign for data streaming.

A model designed to predict if a commercial plane will be delayed. Based on origin and destination airport information, the aircraft, flight times and holiday season. Currently …

Oct 24, 2023 · In this article, we will embark on a journey to predict flight delays, showcasing the entire data science pipeline from data exploration to model development. Step 1: Data Loading …

Aug 14, 2024 · The objective of this project is to build a machine learning model that predicts the likelihood of a flight delay based on various factors such as the airline, origin city, destination …

Nov 12, 2019 · To put it all together, I created a Flask web-app to predict whether a flight would be delayed or not. With inputs of date of flight, time of flight, departure and arrival airport, and …

Sep 9, 2024 · Deep learning models can automatically learn hierarchical representations from data, making them best for flight delay prediction. In the article, we will build a flight delay …