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

Course Cover

5

(4)

compare button icon
Course Report - Machine Learning:  Predict Poisonous Mushrooms using a Random Forest Model and the FFTrees Package in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

icon

Duration

2 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Teaching Type

Self Paced

icon

Video Content

2 hours

Course Description

This project-based course of one hour will show you how to create test and training sets using the R function. Also, you'll practice using ggplot2 and R to analyze data distribution. You will use the FFTrees package to create a Random Forest model. Then, you'll examine the results with a Confusion Matrix.

blur
blur

Highlights

blur

Hands on training

Top 20 Percentile

blur

Rating & Reviews

Top 30 Percentile

blur

Parameters

cv-icon

Hands on training

This course stands out as one of the top 20 percentile options in R for Data Science, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Capstone Projects / Industry-Simulation as well as essential Case Based Learning and Virtual Labs, this course is tailored to meet diverse educational needs.

cv-icon

Rating & Reviews

This highly acclaimed course is among the top-rated in R for Data Science, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R for Data Science.

Course Overview

projects-img

Virtual Labs

projects-img

International Faculty

projects-img

Case Based Learning

projects-img

Post Course Interactions

projects-img

Case Studies,Instructor-Moderated Discussions

projects-img

Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Complete a random Training and Test Set from one Data Source using an R function

Practice data exploration using R and ggplot2

Apply a Random Forest model using the FFTrees package in R

Course Instructors

Author Image

Chris Shockley

Rhyme Instructor

I am an R enthusiast, hiker, and amateur astronomer. My favorite hike is located in Mt. Rainier National Park, my favorite Deep Sky Object is Alberio, and my favorite R package is dplyr (since I use ...

Course Reviews

Average Rating Based on 4 reviews

5.0

100%

Course Cover