CategoriesAdvanced Modeling Tags Data Management Data Visualisation R Programming We are continuing on with our NYC bus breakdown problem. When we left off, we had constructed a rule-based Cubist regression model with our expanded pool of predictors; but we were still only managing to explain 37% of the data's variance with ...

CategoriesAdvanced Modeling Tags Data Management Linear Regression R Programming We have previously added a set of company identity-agnostic predictors, such as the number of drivers a company employs, or the number of vehicles in the fleet with a hydraulic lift, and so on. we took this approach, rather than having ...

CategoriesAdvanced Modeling Tags Data Manipulation Machine Learning R Programming Tips & Tricks We continue on from our previously loaded data of NYC bus delays. Although we are fairly sure that our target variable (time_delayed) is not accurate, it is all we have. We can thank the bus drivers of New ...

CategoriesAdvanced Modeling Tags Data Manipulation Data Visualisation ggplot2 R Programming The motivation for choosing this data set to explore is straightforward: I wanted a real-world data set for which additional meta data would be easy to find, making NYC data perfect; I wanted something which did not require specialised domain ...