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    Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques

    Posted By: AvaxGenius
    Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques

    Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques by Deepti Gupta
    English | PDF,EPUB | 2018 | 415 Pages | ISBN : 148423524X | 18.56 MB

    Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.
    This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms.
    Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills.
    What You'll Learn

    Understand analytics and basic data concepts
    Use an analytical approach to solve Industrial business problems
    Build predictive model with machine learning techniques
    Create and apply analytical strategies

    Who This Book Is For

    Data scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling.
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