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A01=Kirti Raskar
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Author_Kirti Raskar
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Understanding Predictive Models Using R Software

English

By (author): Kirti Raskar

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. See more
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Original price €85.99
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A01=Kirti RaskarAge Group_UncategorizedAuthor_Kirti Raskarautomatic-updateCategory1=Non-FictionCategory=GPHCategory=GPSCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Forthcomingsoftlaunch

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Product Details
  • Dimensions: 148 x 212mm
  • Publication Date: 01 Dec 2024
  • Publisher: Cambridge Scholars Publishing
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781036415297

About Kirti Raskar

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.

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