Название: Business Analytics: Data Science for Business Problems
Автор: Walter R. Paczkowski
Издательство: Springer
Год: 2022
Страниц: 416
Язык: английский
Формат: pdf (true)
Размер: 14.0 MB
Practical in orientation, the volume offers illustrative case studies throughout and examples using Python in the context of Jupyter notebooks. Covered topics include demand measurement and forecasting, predictive modeling, pricing analytics, customer satisfaction assessment, market and advertising research, and new product development and research. This volume will be useful to business data analysts, data scientists, and market research professionals, as well as aspiring practitioners in business data analytics. It can also be used in colleges and universities offering courses and certifications in business data analytics, Data Science, and market research. In Machine Learning, the independent variables are called features. In regression analysis, an example of supervised learning, the goal is to estimate the unknown parameters based on the features to give the best estimate of the target. Since unsupervised learning has neither a target nor a set of parameters, the goal is to find clusters or groups of features using algorithms.