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

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.

• Project Overview
• Here you will describe what the project is about. It should give an overview of what the learner will achieve by completing this project.