Regression analysis with R : design and develop statistical nodes to identify unique relationships within data at scale

Regression analysis with R : design and develop statistical nodes to identify unique relationships within data at scale

Enregistré dans:

Détails bibliographiques
Auteur principal:	Ciaburro, Giuseppe (19..-....). (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2018.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Regression analysis with Python
par: Massaron, Luca (19..-....).
Publié: (2016)

Applied regression analysis : a research tool
par: Rawlings, John O., 1932-
Publié: (1998)

Regression diagnostics : identifying influential data and sources of collinearit
par: Belsley, D. A.
Publié: (1980)

Régression avec R
par: Cornillon, Pierre-André, 1970-
Publié: (2010)

Statistical analysis with R for dummies
par: Schmuller, Joseph (1947-....).

Data Analysis with R
par: Fischetti, Tony.
Publié: (2015)

Mastering data analysis with R
par: Daróczi, Gergely (19..-....).
Publié: (2015)

Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
par: Harrell, Frank E.
Publié: (2001)

Régressions
par: Daubech, Jean-François.
Publié: (1990)

Régression
par: Janin, Claude.
Publié: (1992)

Régressions
par: Chabert, Catherine, 1946-
Publié: (2020)

R data analysis cookbook
par: Ganguly, Kuntal.
Publié: (2017)

Neural networks with R : smart models using CNN, RNN, deep learning, and artificial intelligence principles
par: Ciaburro, Giuseppe (19..-....).
Publié: (2017)

Data analysis with R : a comprehensive guide to manipulating, analyzing, and visualizing data in R
par: Fischetti, Tony.
Publié: (2018)

Data analysis with IBM SPSS statistics
par: Stehlik-Barry, Kenneth (19..-....).
Publié: (2017)

Recent developments in statistical inference and data analysis : proceedings of the International Conference in Statistics in Tokyo
Publié: (1980)

Hands-On Exploratory Data Analysis with R : Become an expert in exploratory data analysis using R packages
par: Datar, Radhika.
Publié: (2019)

Functional data analysis with R and MATLAB
par: Ramsay, James O.
Publié: (2009)

Density estimation for statistics and data analysis
par: Silverman, Bernard W, 1952-
Publié: (1986)

Statistical analysis of financial data in S-PLUS
par: Carmona, René.
Publié: (2004)

Statistical Methods for Survival Data Analysis
par: Lee, Elisa T. (1939-....).
Publié: (2014)

Ridge regression : estimation and prediction
par: McGue, Matthew K.
Publié: (1981)

R for Data Analysis in easy steps : Covers R Programming essentials
par: McGrath, Mike (1956-....).

Applied linear regression
par: Weisberg, Sanford, 1947-
Publié: (1980)

Progrès ou régression ?
par: Bergounioux, Frédéric-Marie, 1900-

L'évolution régressive
par: Salet, Georges, 1907-2002.
Publié: (1943)

Handbook of Statistical Analysis and Data Mining Applications
par: Nisbet, Robert.

Handbook of statistical analysis and data mining applications
par: Nisbet, Robert.
Publié: (2017)

Learning R for geospatial analysis
par: Dorman, Michael (19..-....; programmateur).
Publié: (2014)

Data analysis and graphics using R : an example-based approach
par: Maindonald, John Hilary, 1937-
Publié: (2007)

Logistic regression : a self-learning text
par: Kleinbaum, David G., 1941-
Publié: (2002)

Bayesian data analysis in ecology using linear models with R, BUGS, and Stan : including comparisons to frequentist statistics
Publié: (2015)

R data analysis projects : build end to end analytics systems to get deeper insights from your data
par: Subramanian, Gopi.
Publié: (2017)

Robust regression and outlier detection
par: Rousseeuw, Peter J.
Publié: (1987)

Flexible Bayesian Regression Modelling
par: Fan, Yanan.
Publié: (2019)

Hands-on geospatial analysis with R and QGIS : a beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
par: Islam, Shammunul (19..-....).
Publié: (2018)

Cluster analysis and data analysis
par: Jambu, Michel, 1944-
Publié: (1983)

Régression postdémocratique en Hongrie
par: Rupnik, Jacques.
Publié: (2013)

Hands-On Simulation Modeling with Python : Develop simulation models for improved efficiency and precision in the decision-making process
par: Ciaburro, Giuseppe (19..-....).

Statistics for Data Science : Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
par: Miller, James D..
Publié: (2017)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1