YoVDO

Understanding Machine Learning with R 3

Offered By: Pluralsight

Tags

Machine Learning Courses Algorithms Courses Predictive Modeling Courses Data Acquisition Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
This course walks through the process of creating a machine learning prediction solution. The course introduces and uses R, the primary language for Machine Learning.

In this course, you will learn how developers and Data Scientists use Machine Learning to predict events based on data. Specifically, how to format your problem to be solvable, where to get data, and how to combine that data with algorithms to create models that can predict the future. Throughout this course we will use R, one of the best known Machine Learning languages. No previous R experience is required.

Syllabus

  • Course Overview 1min
  • Understanding Machine Learning With R 11mins
  • Understanding the Machine Learning Workflow 4mins
  • Asking the Right Question 5mins
  • Preparing Your Data 20mins
  • Selecting Your Algorithm 10mins
  • Training the Model 13mins
  • Testing Your Model's Accuracy 11mins
  • Summary 5mins

Taught by

Jerry Kurata

Related Courses

Big Data Analytics in Healthcare
Georgia Institute of Technology via Udacity
Model Building and Validation
AT&T via Udacity
Maths for Humans: Linear, Quadratic & Inverse Relations
University of New South Wales via FutureLearn
Regression Modeling in Practice
Wesleyan University via Coursera
Data Science at Scale - Capstone Project
University of Washington via Coursera