
Wednesday, 17 October 2018
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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.

Thursday, 21 June 2018
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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...

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...
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