The zoo package provides a method for the ggplot2 function autoplot that produces an appropriate plot for an object of class zoo:. library(zoo) p <- autoplot(as.zoo(avts)) p. We can then add a layer for the original co2 data using geom_line.Creating a new data frame for the co2 data makes this easier:. zco2 = data.frame(time = time(co2), average = co2) p + geom_line(aes(x =. Machine learning can be applied to time series datasets. These are problems where a numeric or categorical value must be predicted, but the rows of data are ordered by time. A problem when getting started in time series forecasting with machine learning is finding good quality standard datasets on which to practice. In this post, you will discover 8 standard time.