Название: Econometrics and Data Science: Apply Data Science Techniques to Model Complex Problems and Implement Solutions
Автор: Tshepo Chris Nokeri
Издательство: Apress
Год: 2022
Формат: PDF
Страниц: 241
Размер: 10 Mb
Язык: English
Get up to speed on the application of machine learning approaches in macroeconomic research. This book brings together economics and data science.
Author Tshepo Chris Nokeri begins by introducing you to covariance analysis, correlation analysis, cross-validation, hyperparameter optimization, regression analysis, and residual analysis. In addition, he presents an approach to contend with multi-collinearity. He then debunks a time series model recognized as the additive model. He reveals a technique for binarizing an economic feature to perform classification analysis using logistic regression. He brings in the Hidden Markov Model, used to discover hidden patterns and growth in the world economy. The author demonstrates unsupervised machine learning techniques such as principal component analysis and cluster analysis.