Jay FranckinTowards Data ScienceLearning to Rank — Contextual Item Recommendations for User PairsTrain a Machine Learning recommendation engine that learns the shared preferences of groups of peopleMar 26Mar 26
Jay FranckinTowards Data ScienceEmbarrassingly Shallow Autoencoders (EASE) for RecommendationsRecommendations without the RufflesJan 4, 2021Jan 4, 2021
Jay FranckinTowards Data ScienceBuild a React + Flask App that Suggests Novel Novels with a Python GraphProject Summary:Nov 12, 20191Nov 12, 20191
Jay FranckinTowards Data ScienceBayesian Modeling of Pro Overwatch Matches with PyMC3Professional eSports are becoming increasingly popular, and the industry is growing rapidly. Many of these professional game leagues are…Mar 17, 20193Mar 17, 20193
Jay FranckinTowards Data ScienceHierarchical Bayesian Modeling for Ford GoBike Ridership with PyMC3 — Part IIBuilding better Linear Models with PyMC3Jan 28, 20195Jan 28, 20195
Jay FranckinTowards Data ScienceBayesian Modeling for Ford GoBike Ridership with PyMC3 — Part IBike shares are a large part of the transport equation for cities around the world. In San Francisco, one of the major players in the bike…Jan 13, 20194Jan 13, 20194
Jay FranckinTowards Data ScienceBrewing a Batch of Machine Learning with TPOTWhen approaching a new dataset, I often think about the best tools to visualize, analyze, and build models in an iterative fashion. Perhaps…Jul 16, 20181Jul 16, 20181