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beer-rmcd-system

In this project, we scraped beer reviews from Beeradvocate.com and used them to build a beer recommendation system with various text mining concepts.

lift-analysis-on-car-brands

In this project, we analyzed user generated content (UGC) from Edmunds to sketch consumers' perception of their car brands and the brand's competitors. We attempted to translate UGC to market structure and competitive landscape insights.

organic-indicator

In this project, we explored the features of potential consumers for organic products by analyzing grocery sales data.

predict-the-onset-of-diabetes-based-on-diagnostic-measures

In this project, we predicted the onset of diabetes based on diagnostic measures using KNN, Logistic Regression , Decision Trees and Random Forests.

sta380-part2-exercises

steam-game-rcmd-engine

In this project, we developed a game recommendation engine based on Steam user data. This engine recommends games to users based on how much time they spent playing previous games and their similarity to other video game players.

translate-a-horse-to-a-zebra-cyclegan

In this project, we will build and train a cycleGAN(Cycle-Consistent Generative Adversarial Networks) model to turn horses into zebras.