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.
data-science machine-learning data-visualization xgboost predictive-analytics stratified-sampling mean-square-error data-manipulation-with-pandas 2-sample-t-test
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Updated
Jun 21, 2023 - Jupyter Notebook