This library extracts flight information from aircraft movements like departure airfield and time, arrival airfield and time, total flight time and more.
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.
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).
Analyse optimal aircraft types using flight operations and characteristics
How I use data to make better decisions in my everyday life
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.
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.
Analysis of NYC flight delays using the `nycflights13` dataset, with insights into weather impacts and delay prediction using regression and classification models.
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