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Project Luther

Back story:

Can we predict the box office success of a movie that hasn't opened yet? Using information we scrape from the web, can we build linear regression models that will predict box office success?

Data:

acquisition: web scraping storage: flatfiles sources: boxofficemojo.com, any other publicly available information

Skills:

basics of the web (HTML, css, synchronous & asynchronously loading content) web scraping coding best practices numpy and pandas first peek into scikit.learn

Analysis:

linear regression

Deliverable/communication:

slide presentation visual and oral communication in presentations

Design:

iterative design process scoping "MVP"s and building outward

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