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Machine learning using R (MLUR01)

8th April 2019 - 12th April 2021

Course Overview:

This workshop will provide attendees with the opportunity to learn how to use machine learning to analyze data coming from diverse data domains and scientific disciplines and without necessarily prior knowledge of the scientific discipline where the data are coming from. Attendees will learn how to use R and several R packages including classification and regression trees, ensembles and bagging, random forests, neural networks, and boosting (learning from mistakes). These techniques will be used for data classification, determining goodness-of-fit, predictive modelling (using explanatory variables to predict a variable of interest), and ultimately quantify results, errors, and uncertainty. Attendees will also learn how to produce high quality graphs and figures using R.

To find out more email oliverhooker@prstatistics.com or to book online via our sister company (PR statistics) use the link below…

Machine learning using R (MLUR01)


Teaching Format
Course Programme


8 April 2019
12th April 2021


PR statistics Head Office
53 Morrison Street
Glasgow, G5 8LB United Kingdom
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