In this 90-minute talk, I will be giving an overview of solving a simple predictive analytics problem. We will use R for feature exploration and visualization and build a predictive model using Azure ML.
We will be using the Titanic data set for our exercise. You will see the end-to-end process of building a predictive model. We will start by eyeballing the data set, hypothesizing what features would be useful, exploring and visualizing features. Eventually, we will build predictive models. We will first be using R and then we will use Azure Machine Learning Studio to show how Azure ML speeds up experimentation.