Machine Learning: Predict Poisonous Mushrooms using a Random Forest Model and the FFTrees Package in R
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Overview
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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.
Syllabus
- Project Overview
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Taught by
Chris Shockley