Machine Learning

An implementation in R Markdown

James

02-Jun-2017

Introduction

Figure-1 Machine Learning

Figure-1 Machine Learning

Headings

library(ggfortify)
## Loading required package: ggplot2
autoplot(lm(Petal.Width ~ Petal.Length, data = iris), label.size = 3)

We can extend the plot to the full width of a page:

m <- lm(Petal.Width ~ Petal.Length, data = iris)

autoplot(m, which = 1:6, colour = 'dodgerblue3',
         smooth.colour = 'black', smooth.linetype = 'dashed',
         ad.colour = 'blue',
         label.size = 3, label.n = 5, label.colour = 'blue',
         ncol = 3)
Linear Model Diagnostics.

Linear Model Diagnostics.

Techniques

Business Intelligence and Reporting: In project home dir

Word Cloud: In project home dir

Architecture: In project home dir


James


References

The R Journal is the open access, refereed journal of the R project for statistical computing. It features short to medium length articles covering topics that should be of interest to users or developers of R.

The R Journal

The R Journal - Current Issue