{"product_id":"9781788290852","title":"R: Predictive Analysis","description":"\u003cp\u003e\u003cb\u003eMaster the art of predictive modeling\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout This Book\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLoad, wrangle, and analyze your data using the world's most powerful statistical programming language\u003c\/li\u003e\n\u003cli\u003eFamiliarize yourself with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, Naive Bayes, decision trees, text mining and so on.\u003c\/li\u003e\n\u003cli\u003eWe emphasize important concepts, such as the bias-variance trade-off and over-fitting, which are pervasive in predictive modeling\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eIf you work with data and want to become an expert in predictive analysis and modeling, then this Learning Path will serve you well. It is intended for budding and seasoned practitioners of predictive modeling alike. You should have basic knowledge of the use of R, although it's not necessary to put this Learning Path to great use.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eGet to know the basics of R's syntax and major data structures\u003c\/li\u003e\n\u003cli\u003eWrite functions, load data, and install packages\u003c\/li\u003e\n\u003cli\u003eUse different data sources in R and know how to interface with databases, and request and load JSON and XML\u003c\/li\u003e\n\u003cli\u003eIdentify the challenges and apply your knowledge about data analysis in R to imperfect real-world data\u003c\/li\u003e\n\u003cli\u003ePredict the future with reasonably simple algorithms\u003c\/li\u003e\n\u003cli\u003eUnderstand key data visualization and predictive analytic skills using R\u003c\/li\u003e\n\u003cli\u003eUnderstand the language of models and the predictive modeling process\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eIn Detail\u003c\/b\u003e\u003cp\u003ePredictive analytics is a field that uses data to build models that predict a future outcome of interest. It can be applied to a range of business strategies and has been a key player in search advertising and recommendation engines.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. This Learning Path will provide you with all the steps you need to master the art of predictive modeling with R.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWe start with an introduction to data analysis with R, and then gradually you'll get your feet wet with predictive modeling. You will get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. You will be able to solve the difficulties relating to performing data analysis in practice and find solutions to working with “messy data”, large data, communicating results, and facilitating reproducibility. You will then perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. By the end of this Learning Path, you will have explored and tested the most popular modeling techniques in use on real-world data sets and mastered a diverse range of techniques in predictive analytics.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eData Analysis with R, Tony Fischetti\u003c\/li\u003e\n\u003cli\u003eLearning Predictive Analytics with R, Eric Mayor\u003c\/li\u003e\n\u003cli\u003eMastering Predictive Analytics with R, Rui Miguel Forte\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eStyle and approach\u003c\/b\u003e\u003cp\u003eLearn data analysis using engaging examples and fun exercises, and with a gentle and friendly but comprehensive \"learn-by-doing\" approach. This is a practical course, which analyzes compelling data about life, health, and death with the help of tutorials. It offers you a useful way of interpreting the data that's specific to this course, but that can also be applied to any other data. This course is designed to be both a guide and a reference for moving beyond the basics of predictive modeling.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":46543632007409,"sku":"9781788290852","price":71.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781788290852_p0.jpg?v=1765572024","url":"https:\/\/shop.barnesandnoble.com\/products\/9781788290852","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}