Predictive Modeling with R and Azure ML

In this 90-minute video tutorial, we will cover an overview of solving a simple predictive analytics problem. We will use R for Feature Exploration, Visualization, and Predictive Modeling with R and 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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Raja Iqbal
About The Author
- Raja Iqbal is a data scientist, a passionate educator, and an internationally recognized speaker on all things data science. He is the Founder and Chief Data Scientist at Data Science Dojo. Prior to Data Science Dojo, Raja worked at Microsoft in a variety of research and development roles involving machine learning and data mining at very large scale. Raja has a Ph.D in Computer Science from Tulane University with a focus on machine learning and data mining.


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