Econometrics and data science : apply data science techniques to model complex problems and implement solutions for economic problems

Econometrics and data science apply data science techniques to model complex problems and implement solutions for economic problems

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, regress...

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Detalles Bibliográficos
Otros Autores: Nokeri, Tshepo, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: California : Apress L. P. [2022]
Materias:
Econometrics.
Quantitative research.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009635713206719
Tabla de Contenidos:
  • Chapter 1 Introduction to Econometrics
  • Chapter 2 Univariate Consumption Study Applying Regression
  • Chapter 3 Multivariate Consumption Study Applying Regression
  • Chapter 4 Forecasting Growth
  • Chapter 5 Classifying Economic Data Applying Logistic Regression
  • Chapter 6 Finding Hidden Patterns in World Economy and Growth
  • Chapter 7 Clustering GNI Per Capita on a Continental Level
  • Chapter 8 Solving Economic Problems Applying Artificial Neural Networks
  • Chapter 9 Inflation Simulation
  • Chapter 10 Economic Causal Analysis Applying Structural Equation Modelling.

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