Machine Learning with caret in R

Name: Machine Learning with caret in R
Brand: Careervira
Price: 74 USD
Availability: InStock
Rating: 1 (1 reviews)

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DataCamp

Course Report

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Machine learning is the study and application of algorithms that can learn data and make predictions. It is used in all aspects of our lives, including search results and self-driving cars. This is also one the fastest-growing areas of data science research. This course covers the basics of machine learning. This course teaches you how to create, evaluate, tune, and improve predictive models. This course uses the popular R package, which provides a consistent interface to all R's most powerful machine learning tools.

Course Overview

Virtual Labs

International Faculty

Case Based Learning

Post Course Interactions

Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Regression in R

What You Will Learn

The popular caret R package, which provides a consistent interface to all of R's most powerful machine learning facilities, is used throughout the course

This course teaches the big ideas in machine learning: how to build and evaluate predictive models, how to tune them for optimal performance, how to preprocess data for better results, and much more

Course Content

Expand all sections

Module 1: Regression models: fitting them and evaluating their performance

Module 2: Classification models: fitting them and evaluating their performance

Module 3: Tuning model parameters to improve performance

Module 4: Preprocessing your data

Course Instructors

Max Kuhn

Software Engineer at RStudio and creator of caret

Dr. Max Kuhn is a Software Engineer at RStudio. He is the author or maintainer of several R packages for predictive modeling including caret, AppliedPredictiveModeling, Cubist, C50 and SparseLDA. He ...

Zachary Deane-Mayer

VP, Data Science at DataRobot

Zach is a Data Scientist at DataRobot and co-author of the caret R package. He's fascinated by predicting the future and spends his free time competing in predictive modeling competitions. He's curre...