flight-data-analysis

A tutorial for working with InMemoryDatasets.jl.

flight-ad is a Python package for anomaly detection in the aviation domain built on top of scikit-learn.

Identification and analysis of precursors of time-series using the Intelligent Methodology for the Discovery of Precursor of adverse Events (IM-DoPE)

Flight data logging hardware, firmware, and software using an Adafruit RP2040 microcontroller to capture IMU, GPS, barometric, and magnetometer data at up to 200Hz with Mahony AHRS filtering.

无控探空火箭航电与飞控开发工具链：STM32 工程生成、地面遥测、惯性导航与日志分析。 Open-source tools for unguided sounding rocket avionics and flight computer development: STM32 project generation, ground telemetry, inertial navigation and log analysis.

UAV Flight Analysis is a structured system for analyzing, interpreting, and extracting insights from drone flight data.

This project focuses on scraping flight details from Google Flights, processing the data, and performing cleaning and visualization for future use in analytics or predictive modeling.

Basic practice scripts I worked on with an expert in the field to get a handle on MATLAB data analysis functionality. It includes analyses of live aircraft operation data, flu statistics from FY 2006, and sets of grades.

Databricks and PySpark project for airline delay analysis, visualization, machine learning prediction, and MongoDB NoSQL storage using U.S. flight data from 2016 to 2018, including more than 18.5 million flight records in the dataset.

Offline PX4 telemetry forensics for autonomous incident reconstruction, root-cause analysis, and timestamped evidence.

This project is a Python-based web scraping script designed to extract flight details from the Yatra travel website. The extracted data includes flight pricing, origin, destination, departure and arrival times, and duration. The data is then saved into a CSV file for further analysis.

Excel analysis of 9,999 US domestic flights (2015) — covers departure/arrival delays by airline (AA, AS, DL, NK, WN etc.), cancellation rates, weather vs. air-system vs. airline delay breakdown, average air time per carrier, and departure hour patterns. Built with pivot tables and an interactive dashboard.