About DataAIP.com
DataAIP is a presentation of the Ensembles model used to solve problems in supervised data. The Ensembles package is open source, available to anyone who wishes to use it.
The website highlights the following areas:
Welcome page: An introduction and overview of the site
Highest Accuracy: Examples using the Ensembles package that return the highest accuracy.
Strongest Predictor: Examples which demonstrate the strongest predictor in a data set. This also includes an analysis of why the predictor is the strongest predictor, and how it compares to other predictors that are available.
Data in the news: This is a discussion of very timely news that is data related. A basic analysis is provided to show a neutral and impartial way to interpret the data.
Videos: Both shorts and regular videos will be posted to demonstrate how to use the Ensembles package, and examples of its use.
Mission and Values: This page describes the mission and values for the site.
Contact: How to contact the developer of the Ensembles package.
Get Ensembles: How you can get the Ensembles package.
DataAIP is a presentation of the Ensembles model used to solve problems in supervised data. The Ensembles package is open source, available to anyone who wishes to use it.
The website highlights the following areas:
Welcome page: An introduction and overview of the site
Highest Accuracy: Examples using the Ensembles package that return the highest accuracy.
Strongest Predictor: Examples which demonstrate the strongest predictor in a data set. This also includes an analysis of why the predictor is the strongest predictor, and how it compares to other predictors that are available.
Data in the news: This is a discussion of very timely news that is data related. A basic analysis is provided to show a neutral and impartial way to interpret the data.
Videos: Both shorts and regular videos will be posted to demonstrate how to use the Ensembles package, and examples of its use.
Mission and Values: This page describes the mission and values for the site.
Contact: How to contact the developer of the Ensembles package.
Get Ensembles: How you can get the Ensembles package.