Neural networks are a family of algorithms that are becoming increasingly popular for tasks in the areas of prediction, classification, and clustering.
Multiple response sets often form the basis for further detailed questions about opinions on selected products.
The decision tree is a popular and effective algorithm used primarily in classification work, but it also serves well in predicting quantitative phenomena.
In this article I will introduce Automatic linear modelling, a procedure for linear models available in PS IMAGO PRO.
The Automatic linear modeling procedure is intended to streamline the work of analysts who use regression models.
Today, we will look into ensemble model methods.
Positioning a product in the context of the competition, or the identification of a product’s features and attributes are often key issues facing marketing, promotion, and product...
Regression trees are a very interesting data analysis technique commonly used in tasks related to poststratification, forecasting, and segmentation.
How can we estimate the potential value of consumer shopping, predict the behavior of a visitor to our website, or reduce the risk of credit losses?
Today, we will look into Social Network Analysis (SNA), or Social Relation Analysis.
Correspondence analysis is one of the most convenient and popular exploratory techniques in data analysis.