Franklin

R Machine Learning solutions [electronic resource] / Chiu, Yu-Wei.

Author/Creator:
Chiu, Yu-Wei, author.
Publication:
Packt Publishing, 2016.
Format/Description:
Video
1 online resource (1 video file, approximately 8 hr., 21 min.)
Edition:
1st edition
Status/Location:
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Form/Genre:
Electronic videos.
System Details:
video file
Summary:
Build powerful predictive models in R About This Video Apply R to simple predictive modeling with short and simple code Use machine learning to solve problems ranging from small to big data Build a training and testing dataset from the churn dataset, applying different classification methods In Detail R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics. This video course will take you from very basics of R to creating insightful machine learning models with R. You will start with setting up the environment and then perform data ETL in R. Data exploration examples are provided that demonstrate how powerful data visualization and machine learning is in discovering hidden relationship. You will then dive into important machine learning topics, including data classification, regression, clustering, association rule mining, and dimensionality reduction.
Notes:
Online resource; Title from title screen (viewed November 30, 2016)