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.
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Course Features
Duration
2 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
2 hours
Course Description
Highlights
Hands on training
Top 20 Percentile
Rating & Reviews
Top 30 Percentile
Parameters
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.
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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.
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Course Overview
Virtual Labs
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Instructor-Moderated Discussions
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
Course Reviews
Average Rating Based on 4 reviews
100%