Information Technology
Hands on Training icon
Hands On Training
Hands on Training icon

Hyperparameter Tuning in R

Course Cover

5

(3)

compare button icon

Course Features

icon

Duration

4 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Mobile, Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Teaching Type

Self Paced

icon

Video Content

4 hours

Course Description

It is not easy to just run a machine-learning problem from the box and make a prediction. The best model must accurately predict the outcome. You can improve your model by hyperparameter tuning. This is the process of optimizing your model's settings. This course will show you how to use caret, mlr and h2o packages to find the optimal combination of hyperparameters. This course uses grid search and random searching as well as adaptive resampling and automated machine learning (AutoML). You can also tune different supervised models like support vector and gradient boosting machines. Tune up!

blur
blur

Highlights

blur

Pedagogy

Top 30 Percentile

blur

Rating & Reviews

Top 30 Percentile

blur

Parameters

cv-icon

Pedagogy

Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

cv-icon

Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, 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 Programming.

Course Overview

projects-img

Virtual Labs

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Machine Learning with caret in R

What You Will Learn

Learn how to tune your model's hyperparameters to get the best predictive results

Furthermore, you will work with different datasets and tune different supervised learning models, such as random forests, gradient boosting machines, support vector machines, and even neural nets. Get ready to tune!

Course Instructors

Author Image

Shirin Elsinghorst (formerly Glander)

Data Scientist @ codecentric

I m Shirin, a biologist turned bioinformatician turned data scientist. During my PhD and Postdoc I worked with Next Generation Sequencing data to analyze diseases like arthritis. However, I then chos...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover