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Coursera Project Network

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

Taught by

Chris Shockley

Reviews

4.6 rating at Coursera based on 98 ratings

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