EmbRaceR- Unsupervised Learning

$159.95

  • EUR: €135.09
  • GBP: £115.17
  • NZD: $227.02
  • CAD: $200.63
  • AUD: $216.67

Unsupervised learning means that you do not have a target variable to explain or to predict; you are just fishing in the mud, searching for hidden groups and associations in your data. The sixth course in the EmbRaceR series is dedicated to the unsupervised learning.

Length: 54 minutes

Description

EmbRaceR- Unsupervised Learning

Unsupervised learning means that you do not have a target variable to explain or to predict; you are just fishing in the mud, searching for hidden groups and associations in your data. The sixth course in the EmbRaceR series is dedicated to the unsupervised learning.

With cluster analysis, you try to find specific groups of cases, based on the similarity of the input variables. These groups, or clusters, help you understand your cases, for example your customers, or your employees.

Market basket analysis tries to find the relationships between products. Can a sale of one product raise or lower the probability for selling another product? You analyze the products that are sold together, in a single transaction, in a single market basket. You try to express the relationships between products with association rules.

Link to the agenda and sample videos from the course

 

Length: 54 minutes

 

Instructor

Dejan Sarka


Dejan Sarka, MCT and Data Platform MVP, is an independent trainer and consultant that focuses on the development of database and business intelligence applications. Besides projects, he spends about half of the time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. Dejan Sarka is the main author or co-author of eighteen books about databases and SQL Server. Dejan Sarka has also developed many courses and seminars for Microsoft, SolidQ, and Pluralsight.

 

 

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