Tutorial: Putting a human face on machine learning - IBM Data Science Experience

IBM Data Science Experience (DSX) is an interactive, collaborative, cloud-based environment where data scientists can use multiple tools to achieve insights. Data scientists can use the best of open source, tap into IBM's unique features, grow their skills, and collaborate with teams. One of the many features of DSX provides the capability to create and train a machine learning model in DSX with little to no coding. This model can subsequently be saved and deployed to Watson Machine Learning on IBM Bluemix and called for scoring in real-time. This tutorial is a continuation of the following logistic regression analysis, which creates, trains, saves and deploys a logistic regression model that predicts the possibility for a tent purchase based on age, sex, marital status, and job profession for an individual.