Understanding Predictive Models Using R Software
Seiten
2024
|
Unabridged edition
Cambridge Scholars Publishing (Verlag)
978-1-0364-1529-7 (ISBN)
Cambridge Scholars Publishing (Verlag)
978-1-0364-1529-7 (ISBN)
- Noch nicht erschienen (ca. Dezember 2024)
- Versandkostenfrei
- Auch auf Rechnung
- Artikel merken
Analysing data and using it to predict future events has become an extremely important aspect in this era when data is so rapidly generated everywhere. For this purpose, many traditional and data driven predictive models are available in statistical literature. For a new researcher or data analyst, the choice of a regression model for a particular situation is very difficult as there are plenty of predictive models available for data analysis for different situations. This book will help the researcher understand the different predictive models. It gives a glimpse of many traditional as well as data driven models available for different situations. It also describes those models from a statistical point of view with illustrations using R software for better understanding. It also provides the comparison between the models to have a clear idea about the different assumptions on which the models are based, and the solution if any assumption is violated. The book also mentions the different situations that researchers have to tackle while fitting models like dealing with outliers, overfitting, and heterogeneity in the data.
Dr Kirti Raskar is currently working as an Assistant Professor MIT ACSC (Arts, Commerce & Science College) in Alandi, Pune, Maharashtra, Bharat (India). She has completed her PhD in Predictive Models using Machine Learning Methods. Her specialization is in the subject of Statistics, in which she has completed her Post Graduation. Her expertise is in the field of Data Mining, Predictive Analysis and Machine Learning Methods. She has developed a new classification method called 'Linear Clustering Method' for which she has a German patent, books chapter and few research publications.
| Erscheint lt. Verlag | 1.12.2024 |
|---|---|
| Verlagsort | Newcastle upon Tyne |
| Sprache | englisch |
| Maße | 148 x 212 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| ISBN-10 | 1-0364-1529-5 / 1036415295 |
| ISBN-13 | 978-1-0364-1529-7 / 9781036415297 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Datenanalyse für Künstliche Intelligenz
Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
CHF 104,90
Auswertung von Daten mit pandas, NumPy und IPython
Buch | Softcover (2023)
O'Reilly (Verlag)
CHF 62,85
