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

Offered By: Coursera Project Network via Coursera

Tags

Machine Learning Courses Data Analysis Courses R Programming Courses ggplot2 Courses Random Forest Models Courses Confusion Matrix Courses

Course Description

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.

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

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