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This template is used to create a GBM machine learning model to understand the effects of predictor variables on a single response. 
Last Updated on 6:06am May 24, 2017 by TIBCO Software
This template lets you prepare your data for the analyses used in the segmentation, affinity and propensity downstream Customer Analytics Templates.
Last Updated on 5:35pm May 23, 2017 by TIBCO Software
This template lets you identify product categories that are likely to be bought by the same customers based on their past purchasing behavior.
Last Updated on 3:35pm May 23, 2017 by TIBCO Software
This Spotfire template guides the user through the tasks of adhoc data discovery, supervised model creation and unsupervised model creation to build a strategy for combating financial crime.
Last Updated on 6:04am May 23, 2017 by TIBCO Software
Extreme Gradient Boosting or XGBoost is a supervised Machine-learning algorithm used to predict a target variable Y given a set of features – Xi
Last Updated on 1:36pm May 12, 2017 by TIBCO Software
This template and data function return TERR environmental variables.
Last Updated on 6:28pm May 07, 2017 by TIBCO Software
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Bring the Fast Data platform into the world of transportation with TIBCO’s Connected Vehicles Accelerator. Learn how event processing and streaming analytics can track scheduled vehicles and help you discover critical business moments before they adversely impact your operations, your customers, and your partners. Plus, do it quicker with the accelerator framework.
Last Updated on 6:15am Apr 27, 2017 by TIBCO Software
This Template creates a Classification Tree from the Spotfire Classification Modeling Tool output.  The tree is generated by a data function that adds an R graphics dendogram to Spotfire.
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Last Updated on 9:07am Apr 25, 2017 by TIBCO Software
Random forests are an ensemble decision tree machine learning method for classification and regression.
Last Updated on 7:34am Apr 03, 2017 by TIBCO Software
Random Forest is an ensemble tree machine-learning algorithm.  This template employs supervised learning to determine variable importance and make predictions. 
Last Updated on 7:34am Apr 03, 2017 by TIBCO Software

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