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This repository contains the data and code used to complete Metis Project Luther, a web scraping project.
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The different folders contain Jupyter notebooks with Python code for:
- scraping Box Office Mojo, a website with movie release information, with BeautifulSoup (notebooks)
- performing exploratory data analysis
- modeling the data
- visualizing results
- data scraped from B.O.M. (data_pickles)
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Need to write comprehensive README.md with presentation files, and clean and organize code.
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karmacelina/predicting_movie_widest_release
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About
This project relied on extracting and munging scraped, unstructured data from the Box Office Mojo website to apply regression modeling techniques for actionable insight extraction.
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