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Learning Bayesian Models with R
book

Learning Bayesian Models with R

by Hari Manassery Koduvely
October 2015
Beginner to intermediate
168 pages
4h 11m
English
Packt Publishing
Content preview from Learning Bayesian Models with R

Exercises

  1. Use the multivariate dataset named Auto MPG from the UCI Machine Learning repository (reference 3 in the References section of this chapter). The dataset can be downloaded from the website at https://archive.ics.uci.edu/ml/datasets/Auto+MPG. The dataset describes automobile fuel consumption in miles per gallon (mpg) for cars running in American cities. From the folder containing the datasets, download two files: auto-mpg.data and auto-mpg.names. The auto-mpg.data file contains the data and it is in space-separated format. The auto-mpg.names file has several details about the dataset, including variable names for each column. Build a regression model for the fuel efficiency, as a function displacement (disp), horse power (hp), weight ...
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Publisher Resources

ISBN: 9781783987603