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Customizing Click Events: How to Capture and Store Data from JavaScript Objects in R Variables

Daina Andries
Wednesday, 17 October 2018 / Published in Data, R, Code, Analytics, Data Science, Data Visualization, Tutorials, R Shiny, JavaScript, Machine Learning
Interaction Design for Data Exploration Visualizations capable of launching detail views can add value to a data analyst’s user experience. Programming in this kind of interaction automates the creation of complementary charts and increases ease of exploration by linking varied views of the data in a logical way.
Data R Code Analytics Data Science Data Visualization Tutorials R Shiny JavaScript Machine Learning

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
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