Data Science Foundations Data Mining in R

Data Science Foundations Data Mining in R

with Barton Poulson
Electronic Video - 2021

Do you work in data analysis? Learn how to mine data using R. Topics include dimensionality reduction, clustering, classification, association analysis, and more.

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書目詳細資料
企業作者: linkedin.com (Firm)
其他作者: Poulson, Barton (Speaker)
格式: 電子 影片
語言:English
出版: Carpenteria, CA linkedin.com, 2021.
主題:
在線閱讀:View course details on linkedin.com/learning

MARC

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520 |a Do you work in data analysis? Learn how to mine data using R. Topics include dimensionality reduction, clustering, classification, association analysis, and more. 
511 1 |a Presenter: Barton Poulson 
520 |a Data science continues to grow in sophistication and demand at an exponential rate. Data mining is the area of data science that focuses on finding actionable patterns in large and diverse datasets: clusters of similar customers, trends over time that can only be spotted after disentangling seasonal and random effects, and new methods for predicting important outcomes. Instructor Barton Poulson focuses on data mining in R, presents a broad range of algorithms including machine learning methods, and offers important information on laws and policies that affect data mining. Barton gives an overview of dimensionality reduction. He introduces clustering, including hierarchical clustering, then goes into association analysis. He explains time-series mining and decomposition, then concludes with text mining, sentiment analysis, and sentiment scoring. 
538 |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. 
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092 |a ONLINE CLASS