Predicting Employee Attrition Phase 3 of the Flatiron Data Science program has been all about classification problems. We’ve learned a number of models, from logistic regression to decision trees to ensemble methods that encompass multiple models. One of the more interesting applications of classification models is predicting employee attrition. HR…

Dealing with multicollinearity and heteroscedasticity For the end of Phase 2 in the Flatiron Data Science boot camp, our task is to create an accurate machine learning model that can predict housing pricings in King County, Washington. This is a fairly popular dataset, with Medium articles and Kaggle competitions built…

Reflecting on the completion of the first phase of the Flatiron Data Science Bootcamp I’ve always been fascinated by data science, even if I didn’t call it that, or really knew the term. “Analytics” was more the phrase I used. Regardless, data science has been something at the forefront of…