Feature Exploration, Visualization, and Predictive Modeling with R and Azure ML

Explore the end-to-end process of building a predictive model using the Titanic dataset in this 90-minute talk. Begin by eyeballing the data, hypothesizing useful features, and conducting feature exploration and visualization using R. Progress to building predictive models, first with R and then with Azure Machine Learning Studio to demonstrate how Azure ML accelerates experimentation. Gain practical insights into solving a simple predictive analytics problem, combining the power of R for initial analysis and Azure ML for efficient model development.