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#

flight-analysis

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This library extracts flight information from aircraft movements like departure airfield and time, arrival airfield and time, total flight time and more.

  • UpdatedDec 7, 2022
  • C#

This project is a comprehensive Power BI dashboard analyzing airport operations, focusing on flight delays, time analysis, and detailed flight information to improve efficiency and passenger satisfaction.

  • UpdatedMay 28, 2024

Flight delay prediction model using Apache Spark and machine learning. Analyzes 2008 American Airlines data to identify key delay factors with 97% accuracy (R² 0.9739).

  • UpdatedMar 13, 2025
  • Jupyter Notebook

Analysis of NYC flight delays using the `nycflights13` dataset, with insights into weather impacts and delay prediction using regression and classification models.

  • UpdatedJan 2, 2025
  • R

This project is a comprehensive Power BI dashboard analyzing airport operations, focusing on flight delays, time analysis, and detailed flight information to improve efficiency and passenger satisfaction.

  • UpdatedJul 27, 2024

This GitHub repository contains Python code that analyzes flight data using libraries like NumPy, Pandas, SciPy, Matplotlib, and Seaborn. It performs data preprocessing, exploration, and visualization tasks to gain insights into flight patterns, delays, carrier performance, and more.

  • UpdatedJul 21, 2023
  • Jupyter Notebook

Analyse optimal aircraft types using flight operations and characteristics

  • UpdatedApr 10, 2022
  • Jupyter Notebook

How I use data to make better decisions in my everyday life

  • UpdatedJul 7, 2021
  • Jupyter Notebook

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