/US-Airlines-Delay-Analysis-2023

The objective is to analyze flight delays in the United States. Data from airlines, airports, and runways will be collected and processed. Machine learning models will be built using logistic regression, decision trees, and XGB classifiers. Visualizations will be created in Tableau, and Excel dashboards and SQL queries will be used for analysis.

Primary LanguageJupyter NotebookCreative Commons Zero v1.0 UniversalCC0-1.0

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