Data Scientists often socialize with fellow Data Scientists. We collaborate, exchange ideas, and help each other to arrive at better solutions. This synergy helps us keep abreast of what is happening in Data Science World!
I had an opportunity to work with Dr. Rajiv Shah, adjunct Professor and Data Scientist, on one of his data science projects Taking an H2O Model to Production
In the Chicago Food Inspection Forecasting project, the number of days before an inspection has to be made was forecasted as 6.55 days with GLM and Random Forest predictive models. I developed a model using XGBoost algorithm and arrived at 7.79 days - an improvement of 1.24 days (19%).
Refer to the pull request of this model made into The City of Chicago’s GitHub repository.