Machine Learning with R

SpiralTrain BV

In the course Machine Learning with R you will learn how to apply the R language and the R libraries in modeling projects and machine learning.

Price

from €2,999

Level

Not specified

Kind

Training

Subject

Automation and IT, Training and education

More information and registration at SpiralTrain BV

Description

Review R First of all, a review discusses the fundamentals of R such as data types and functions. Then a number of important libraries such as dplyr and ggplot2 are treated. Machine Learning Next the principles of machine learning, building models based on data and the differences between supervised and unsupervised learning are explained. Regressions Linear regression and logistic regression and the differences between them are discussed. Then attention is paid to how models can be checked for accuracy by looking at summaries, coefficients and plots. Functional R Subsequently the course covers how functional programming techniques in R can be applied. Here other solutions for iteration through various map and other functions are discussed. Sparklyr Intro Attention is also paid to the access of Apache Spark from R by means of a distributed data frame implementation with operations such as selection, filtering and aggregation. Shiny Visualization of data in interactive web applications directly from R via the Shiny package is also on the program. Decision Trees Next the course Machine Learning with R discusses Decision Trees.