Abstract

I’ve cleaned up and began to visualize possible things I could do whilst working on this given dataset https://www.kaggle.com/rush4ratio/video-game-sales-with-ratings/ and http://www.vgchartz.com/analysis/platform_totals/Hardware/Global/. I’ve created models based on important sales regions to see what will help a game’s sales.

1. Discovery and Data Preparation

Here I’ve introduced, cleaned up, and summarized the data I’ve chosen. https://anicanor.github.io/PortfolioPart1/

2. Model Planning and Building

In this part, I add in console sales into my data and use that along with other variables to predict game sales. https://anicanor.github.io/PortfolioPart2/

3. Results and Operationalization

Here, I go over any revisions I’ve made on my project, and I preform cross validation on each of my regional models. In addition, I go over any ways I can operationalize this project along with any unintended consquences and future goals for this project. https://anicanor.github.io/PortfolioPart3/