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VIRTUAL TEAM TRAINING

Your Team,
Our Instructors
Anywhere, Anytime

Hands-on Machine Learning in R: Advanced Techniques

Duration: One Day Course

Prerequisite: R programming knowledge, statistics, and exposure to the machine learning process/algorithms. You will need a laptop computer with specific software installed prior to the session. When you register for the class, you will receive detailed instructions for software download and installation.

R is the one of the most popular machine learning tools in use today. This course focuses on taking concepts in machine learning and applying them in practical ways. Common algorithms such as regression, clustering, and classification are explained, applied, and evaluated using R. Participants will complete exercises to solidify understanding and build skills with the intent of finishing the course with a toolkit that can be used to build R machine learning skills.

You Will Learn How To

  • Do exploratory data analysis
  • Use linear models such as linear regression and logistic regression
  • Choose features and complete feature reduction
  • Use clustering models such as K-means
  • Do time series forecasting
  • Use classification models such as decision trees and K nearest neighbor
  • Use ensemble methods
  • Do model validation

Geared To

  • Those that have foundation knowledge of R and machine learning

Contact Us to Get Started Today

REQUEST INFORMATION

Yvonne Baho

Yvonne M. Baho Director, Enterprise Learning
Phone: 978.582.7105
Email: ybaho@tdwi.org

TDWI Course Catalog

Download Our
Course Catalog

Download Now

REQUEST INFORMATION

Yvonne Baho Yvonne M. Baho
Director, Enterprise Learning
Phone: 978.582.7105
E-mail: ybaho@tdwi.org
TDWI Course Catalog Download

Download Our Course Catalog

Download Now

Contact Us to Get Started Today