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

In this 90-minute talk, we will cover 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.

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About The Author
- Data Science Dojo is a paradigm shift in data science learning. We enable all professionals (and students) to extract actionable insights from data.

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