Analyzing User Behaviour at Plenty of Fish: Data Science in the Wild
How are Machine Learning and Data Science actually used in the real-world?
Tommy Levi will walk through the steps (and missteps) he took in starting to analyze user behavior on the Plenty of Fish site. He will discuss data preparation and wrangling, parallel computing and initial exploration and feature analysis. The goal of the talk is not to focus on any specific algorithms, but to show the steps taken for a real world analysis on large, often messy data and how to get actionable, useful results from such an analysis.