Despite of worldwide debates on bike sharing benefits and challenges, Vancouver launched its own bike sharing program in summer 2016, Mobi sponsored by Shaw Go. First bike share appeared in Amsterdam in 1960's, and then was introduced to other big European cities. It has got popularized by the Chinese in the last decade - 13 out of 15 world biggest bike share programs are in China. I like bike share program because it is simply convenient and helps to save environment. So I decided to look into Vancouver bike share historical data, and hoped to find some trends/patterns. Thanks to Mobi who made their bike usage data available, predictive models can be built to forecast future rides. Quick summary of the project workflow: [caption id="attachment_539" align="alignnone" width="508"] Project workflow[/caption]

Living in Vancouver, it is so convenient driving cross the border and have some fun on the other side. However, if you have headache of waiting in the long border-crossing lines and getting stuck for almost an hour, you are not alone. We all know the basic strategies on best/worst days/hours to cross, for example, avoid long weekend or Christmas week, arriving the border early, etc. A crystal ball that can tell us ahead of time on our wait time at the border crossing will be just fantastic! Well, I decided to give it a swing and make a crystal ball - to build a machine learning model. Below is a quick summary of the workflow on this mini project. [caption id="attachment_512" align="alignnone" width="544"] Project workflow[/caption]