Beginning data analytics with RapidMiner : understanding core analytical methods and how to use them in RapidMiner / with Matthew North.
"This course is designed for the person who is new to the science of data analytics, who has completed at least one college-level math class, and is comfortable with basic statistics. The course explains the core methods used in data analytics and how to apply those methods in conjunction with RapidMiner, a free and easy-to-use (no programming knowledge required) data analytics platform. You'll first learn about the features of RapidMiner, configuring it, and how to connect to a variety of data sets, and then move into a detailed survey of the analytical methods incorporated within the software. Topics covered include correlation, association rules, k-means clustering, k-nearest neighbors, discriminant analysis, Naive Bayes, linear and logistic regression, neural networks, decision trees, and text analysis."--Resource description page.
Record details
- Physical Description: 1 online resource (1 streaming video file (1 hr., 56 min., 18 sec.)) : digital, sound, color
- Publisher: [Place of publication not identified] : O'Reilly, [2016]
Content descriptions
General Note: | Title from title screen (viewed September 27, 2016). Date of publication from resource description page. |
Participant or Performer Note: | Presenter, Matthew North. |
Search for related items by subject
Subject: | RapidMiner (Electronic resource) Data mining. Exploration de données (Informatique) Data mining. |
Genre: | Electronic books. |