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Coursera Project Network

Machine Learning: Predict Poisonous Mushrooms using a Random Forest Model and the FFTrees Package in R

Coursera Project Network via Coursera

Overview

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 Random Forest model to the data using the FFTrees package in R, 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.

Taught by

Chris Shockley

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