In this 1-hour long project-based course, you will learn how to (complete a training and test set using an R function, practice looking at data distribution using R and ggplot2, Apply a Neural Net model to the data, and examine the results using a Confusion Matrix.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Predict Gas Guzzlers using MPG Data Set and a Random Forest
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No Longer Offered
Overview
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Taught by
Chris Shockley