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Analytics at Scale: h2o, Apache Spark and R on AWS EMR

Mark Stephenson
Thursday, 21 June 2018 / Published in R, Code, Analytics, Apache Spark, Data Science, h2o, Predictive Analytics, Tutorials, Sparkling Water, Machine Learning
At Red Oak Strategic, we utilize a number of machine learning, AI and predictive analytics libraries, but one of our favorites is h2o.  Not only is it open-source, powerful and scalable, but there is a great community of fellow h2o users that have helped over the years, not to mention the staff leadership at the company is very responsive...
R Code Analytics Apache Spark Data Science h2o Predictive Analytics Tutorials Sparkling Water Machine Learning

Red Oak Strategic - Time Series Forecasting with Machine Learning

Mark Stephenson
Monday, 7 May 2018 / Published in Data, R, Code, Analytics, Time Series, Data Science, Forecasting, Predictive Analytics, Tutorials, Machine Learning
Introduction This post will demonstrate how to use machine learning to forecast time series data. The data set is from a recent Kaggle competition to predict retail sales.       You will learn how to: Build a machine learning model to forecast time series data (data cleansing, feature engineering and modeling) Perform feature engineering to...
Data R Code Analytics Time Series Data Science Forecasting Predictive Analytics Tutorials Machine Learning

Could Google and Xbox solve all of polling’s problems?

Mark Stephenson
Friday, 26 August 2016 / Published in Data, Politics, Analytics, Political Analytics, Data Science, Predictive Analytics, 2016 Election, Polling
Political polling faces a crisis of confidence. Major news outlets repeatedly ask “What’s the matter with polling?” after major misses like the Bernie Sanders’s primary upset in Michigan, where he beat Hillary Clinton 50–48 despite the fact that she was leading by up to 20 points in reputable polls. There is, however, hope for a polling...
Data Politics Analytics Political Analytics Data Science Predictive Analytics 2016 Election Polling
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