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TBCC 2019 Avengers, Algorithms, and Analytics: Panel Recap
This Panel was held on: Friday, August 2, 2019 at 9 PM – 10 PM During the Tampa Bay Comic Convention 2019, held at the Tampa Convention Center. The Panelists were: Tom Ferrara (@pancake_analytics) , Kalyn Hundley (@kehundley08), Andy Polak (@polak_andy) I want to take a quick moment to discuss the panelists. I love…
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Recipe 013: Marvel Comics Propensity Score
How crazy would it be if I told you Howard the Duck and Old Man Logan are closer to each other in skill sets than they are to any other Marvel characters? Or how about Thor and Dr. Octopus are lookalikes as well? Let’s answer these questions together by wrangling some readily available data. …
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Recipe 011: DC Super Hero Throw Down: Propensity Modeling
I want you to remember, Clark…In all the years to come… in your most private moments… I want you to remember my hand at your throat… I want you to remember the one man who beat you. Chilling quote isn’t it? That was said by Batman to Superman during the The Dark Knight Returns, a comic book miniseries written…
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Recipe: 007 Comic Con Cosplay and the Drivers of Instagram Engagement
Halloween has recently passed and it’s a good transition into this week’s analysis; Let’s face it dressing up on Halloween is the first step to cosplaying at your local comic con. Cosplay can be a lucrative business if done correct, and many people do. As you read through this week’s analysis I urge you respect…
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Recipe: 002 Marvel Cinematic Universe Regression Model
There’s is no argument against the Marvel Cinematic Universe being a financial success. I’ll try to identify variables which can equate to box office success. The goal is to fit a regression model to Box Office USD for Marvel Cinematic Movie releases. *At the time of cooking Ant-man and the Wasp did not have finalized…