isixsigma on MSN14 天
Categorical vs. Continuous Data: What’s the Difference?
Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and continuous data seeming almost opposed at first glance. That said, ...
Que.com on MSN4 个月
Beginner’s Guide to Encoding Categorical Data: Visuals and Code Example
Categorical data refers to variables that contain label values rather than numeric values. Machine learning algorithms, on the other hand, mainly operate on numeric data. Therefore, encapsulating ...
Simon Fraser University5 年
Analysis of Variance for Categorical Data and Generalized Linear Models
This process is analogous to performing an analysis of variance on continuous data, which can be performed by PROC CATMOD. If there are n nominal variables, rather than 1, then PROC CATMOD can do an n ...
mccormick.northwestern.edu1 年
MLDS 420: Machine Learning II
This course covers nonparametric modeling of complex, nonlinear predictive relationships in data with categorical (classification) and numerical (regression) response variables. Supervised learning ...
University of Bristol3 年
Categorical summaries & display
Generate and interpret contingency tables for exploring the relationship between two categorical variables and justify whether to use row or column percentages to show these associations. Identify ...
Simon Fraser University3 年
PROC SURVEYMEANS Statement
the procedure uses the most recently created SAS data set. specifies the order in which the values of the categorical variables are to be reported. Note that the ORDER= option applies to all the ...