Most of the existing clustering approaches are applicable to purely numerical or categorical data only, but not the both. In general, it is a nontrivial task to perform clustering on mixed data ...
Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...
In most, if not all, studies we collect data to obtain information about an area of research in which we have an interest. For example, we might want to know the level of dental caries in our area. In ...
Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...
Microsoft Excel can perform numerous statistical functions, as well as create charts from statistical data. Statistical data includes numeric variables or word variables, also called categorical ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data visualization is a process in data analytics where visual representation communicates ...
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