Author: Peter Spangler
Peter is an entrepreneurial minded data scientist whose expertise in building analytic solutions and insights to tell data driven stories have impacted organizations including Alibaba, Citrix and Lyft. Peter has lead experimentation design and analytics projects focused on retention, user acquisition and channel optimization in the SaaS and rideshare spaces. The solutions he has produced include incrementality testing, segmentation, ML models and fraud. Peter is a passionate advocate for building analytics teams in cross-functional environments.
How to model with gradient boosting machine in R
The tutorial is part 2 of our #tidytuesday post from last week, which explored bike rental data from Washington, D.C. Check it out here. The following tutorial will use a […]
Exploring bike rental behavior using R
Bikes have become one of the fastest growing modes of city travel which is why it’s no surprise that Lyft and Uber are getting into the two-wheeler game. Lyft’s recent […]