Neural networks
Neural networks are a family of algorithms that are becoming increasingly popular for tasks in the areas of prediction, classification, and clustering.
SHOPPING FOR A MOUNTAIN TRIP: ANALYSIS OF MULTIPLE RESPONSE SETS
Multiple response sets often form the basis for further detailed questions about opinions on selected products.
How to boost a decision tree algorithm
The decision tree is a popular and effective algorithm used primarily in classification work, but it also serves well in predicting quantitative phenomena.
Swift predictive analysis : Automation in linear modelling
In this article I will introduce Automatic linear modelling, a procedure for linear models available in PS IMAGO PRO.
Car value: Variable selection for linear modelling
The Automatic linear modeling procedure is intended to streamline the work of analysts who use regression models.
Automatic linear modeling: Ensemble models
Today, we will look into ensemble model methods.
Multidimensional scaling in brand positioning
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...
Consumer shopping value analysis using Regression Trees. Part 2
Regression trees are a very interesting data analysis technique commonly used in tasks related to poststratification, forecasting, and segmentation.
Consumer shopping value analysis using Regression Trees. Part 1
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?
SNA or network as an analytical object
Today, we will look into Social Network Analysis (SNA), or Social Relation Analysis.
Correspondence analysis: Calculating distances in a table
Correspondence analysis is one of the most convenient and popular exploratory techniques in data analysis.
