“Using historical data, identify which model best predicts future flight delays and in turn identify top indicators of U.S. domestic flight delays.”
-
Updated
Jun 11, 2020 - Jupyter Notebook
“Using historical data, identify which model best predicts future flight delays and in turn identify top indicators of U.S. domestic flight delays.”
A brief course intended to introduce non-programmers to python and data wrangling. Also, demonstration of network optimization, pdf creation in Python, and a simple Monte Carlo simulation.
📊 Power BI dashboard for Airline Price & Route Analysis. Includes raw & cleaned flight data, interactive filters, and key insights into pricing, routes, airlines, and booking trends. 🚀
Power BI Dashboard Portfolio featuring projects on sales analysis, customer insights, and business performance reporting. Includes visualizations, datasets, and interactive reports.
Add a description, image, and links to the airline-analysis topic page so that developers can more easily learn about it.
To associate your repository with the airline-analysis topic, visit your repo's landing page and select "manage topics."