See Final Product here: http://jackapbutler123.pythonanywhere.com/
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The data was collected using python (mainly pandas) webscraping tools.
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The resulting dataframe was cleaned using pandas and numpy in the Departure_Web_Scraping jupyter notebook.
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This cleaned data was then exported to a csv file.
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Tasks 1, 2 & 3 were automated through task scheduler and python scripts.
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Exploratory data analysis was performed on the clean dataframe within Excel in the Flight Delay Analysis workbook.
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Multiple machine learning models were trained on different response variables before the most efficient & accurate solution was chosen.
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This model was then deployed as a web application through Flask and pythonanywhere using HTML and CSS to create the webpage designs.
