Ankündigung Erscheint vsl. Juli 2022 Abbildung von Subramanian | Regression Analysis Recipes | 1. Auflage | 2022 | beck-shop.de

Subramanian

Regression Analysis Recipes

With Tools and Techniques to Solve Problems Using Python and R.

Jetzt vorbestellen! Wir liefern bei Erscheinen (Erscheint vsl. Juli 2022)

ca. 37,44 €

Preisangaben inkl. MwSt. Abhängig von der Lieferadresse kann die MwSt. an der Kasse variieren. Weitere Informationen

Fachbuch

Buch. Softcover

1st ed.. 2022

v, 195 S. Bibliographien.

In englischer Sprache

Apress. ISBN 978-1-4842-7804-8

Format (B x L): 15,5 x 23,5 cm

Produktbeschreibung

Use regression analysis tools to solve problems in Python and R. This book provides problem-solving solutions in Python and R using familiar datasets such as Iris, Boston housing data, King County House dataset, etc. You'll start with an introduction to the various methods of regression analysis and techniques to perform exploratory data analysis. Next, you'll review problems and solutions on different regression techniques with building models for better prediction. The book also explains building basic models using linear regression, random forest, decision tree, and other regression methods. It concludes with revealing ways to evaluate the models, along with a brief introduction to plots. Each example will help you understand various concepts in data science. You'll develop code in Python and R to solve problems using regression methods such as linear regression, support vector regression, random forest regression. The book also provides steps to get details about Imputation methods, PCA, variance measures, CHI2, correlation, train and test models, outlier detection, feature importance, one hot encoding, etc. Upon completing Regression Analysis Recipes, you will understand regression analysis tools and techniques and solve problems in Python and R. You will: - Perform regression analysis on data using Python and R - Understand the different kinds of regression methods - Use Python and R to perform exploratory data analysis such as outlier detection, imputation on different types of datasets - Review the different libraries in Python and R utilized in regression analysis

Top-Produkte dieser Kategorie

Unsere Empfehlungen für Sie

Ihre zuletzt angesehenen Produkte

Autoren

  • Rezensionen

    Dieses Set enthält folgende Produkte:
      Auch in folgendem Set erhältlich:
      • nach oben

        Ihre Daten werden geladen ...