Statistical Application Development with R and Python - Second Edition:
bSoftware Implementation Illustrated with R and Python/bh2About This Book/h2ulliLearn the nature of data through software which takes the preliminary concepts right away using R and Python./liliUnderstand data modeling and visualization to perform efficient statistical analysis with this guide./lili...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2017
|
| Ausgabe: | 2 |
| Schlagworte: | |
| Zusammenfassung: | bSoftware Implementation Illustrated with R and Python/bh2About This Book/h2ulliLearn the nature of data through software which takes the preliminary concepts right away using R and Python./liliUnderstand data modeling and visualization to perform efficient statistical analysis with this guide./liliGet well versed with techniques such as regression, clustering, classification, support vector machines and much more to learn the fundamentals of modern statistics./li/ulh2Who This Book Is For/h2If you want to have a brief understanding of the nature of data and perform advanced statistical analysis using both R and Python, then this book is what you need. No prior knowledge is required. Aspiring data scientist, R users trying to learn Python and vice versah2What You Will Learn/h2ulliLearn the nature of data through software with preliminary concepts right away in R/liliRead data from various sources and export the R output to other software/liliPerform effective data visualization with the nature of variables and rich alternative options/liliDo exploratory data analysis for useful first sight understanding building up to the right attitude towards effective inference/liliLearn statistical inference through simulation combining the classical inference and modern computational power/liliDelve deep into regression models such as linear and logistic for continuous and discrete regressands for forming the fundamentals of modern statistics/liliIntroduce yourself to CART - a machine learning tool which is very useful when the data has an intrinsic nonlinearity/li/ulh2In Detail/h2Statistical Analysis involves collecting and examining data to describe the nature of data that needs to be analyzed. |
| Beschreibung: | 1 Online-Ressource (432 Seiten) |
| ISBN: | 9781788622264 |
Internformat
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| 520 | |a Aspiring data scientist, | ||
| 520 | |a R users trying to learn Python and vice versah2What You Will Learn/h2ulliLearn the nature of data through software with preliminary concepts right away in R/liliRead data from various sources and export the R output to other software/liliPerform effective data visualization with the nature of variables and rich alternative options/liliDo exploratory data analysis for useful first sight understanding building up to the right attitude towards effective inference/liliLearn statistical inference through simulation combining the classical inference and modern computational power/liliDelve deep into regression models such as linear and logistic for continuous and discrete regressands for forming the fundamentals of modern statistics/liliIntroduce yourself to CART - a machine learning tool which is very useful when the data has an intrinsic nonlinearity/li/ulh2In Detail/h2Statistical Analysis involves collecting and examining data to describe the nature of data that needs to be analyzed. | ||
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| author | Tattar, Prabhanjan Narayanachar |
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| spelling | Tattar, Prabhanjan Narayanachar Verfasser aut Statistical Application Development with R and Python - Second Edition Tattar, Prabhanjan Narayanachar 2 Birmingham Packt Publishing Limited 2017 1 Online-Ressource (432 Seiten) txt rdacontent c rdamedia cr rdacarrier bSoftware Implementation Illustrated with R and Python/bh2About This Book/h2ulliLearn the nature of data through software which takes the preliminary concepts right away using R and Python./liliUnderstand data modeling and visualization to perform efficient statistical analysis with this guide./liliGet well versed with techniques such as regression, clustering, classification, support vector machines and much more to learn the fundamentals of modern statistics./li/ulh2Who This Book Is For/h2If you want to have a brief understanding of the nature of data and perform advanced statistical analysis using both R and Python, then this book is what you need. No prior knowledge is required. Aspiring data scientist, R users trying to learn Python and vice versah2What You Will Learn/h2ulliLearn the nature of data through software with preliminary concepts right away in R/liliRead data from various sources and export the R output to other software/liliPerform effective data visualization with the nature of variables and rich alternative options/liliDo exploratory data analysis for useful first sight understanding building up to the right attitude towards effective inference/liliLearn statistical inference through simulation combining the classical inference and modern computational power/liliDelve deep into regression models such as linear and logistic for continuous and discrete regressands for forming the fundamentals of modern statistics/liliIntroduce yourself to CART - a machine learning tool which is very useful when the data has an intrinsic nonlinearity/li/ulh2In Detail/h2Statistical Analysis involves collecting and examining data to describe the nature of data that needs to be analyzed. COMPUTERS / Data Processing COMPUTERS / Data Visualization |
| spellingShingle | Tattar, Prabhanjan Narayanachar Statistical Application Development with R and Python - Second Edition COMPUTERS / Data Processing COMPUTERS / Data Visualization |
| title | Statistical Application Development with R and Python - Second Edition |
| title_auth | Statistical Application Development with R and Python - Second Edition |
| title_exact_search | Statistical Application Development with R and Python - Second Edition |
| title_exact_search_txtP | Statistical Application Development with R and Python - Second Edition |
| title_full | Statistical Application Development with R and Python - Second Edition Tattar, Prabhanjan Narayanachar |
| title_fullStr | Statistical Application Development with R and Python - Second Edition Tattar, Prabhanjan Narayanachar |
| title_full_unstemmed | Statistical Application Development with R and Python - Second Edition Tattar, Prabhanjan Narayanachar |
| title_short | Statistical Application Development with R and Python - Second Edition |
| title_sort | statistical application development with r and python second edition |
| topic | COMPUTERS / Data Processing COMPUTERS / Data Visualization |
| topic_facet | COMPUTERS / Data Processing COMPUTERS / Data Visualization |
| work_keys_str_mv | AT tattarprabhanjannarayanachar statisticalapplicationdevelopmentwithrandpythonsecondedition |