{"product_id":"r-for-data-science-implementing-machine-learning-models-9798299106329","title":"R for Data Science: Implementing Machine Learning Models","description":"\u003cp\u003e • Author(s): Mary M. Adepoju | Olaoluwa S. Yaya\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Machine Theory\u003c\/p\u003e\u003cp\u003eUnlock the power of machine learning in R with \u003ci\u003eR for Data Science: Implementing Machine Learning Models\u003c\/i\u003e. This comprehensive guide equips data scientists, analysts, and R enthusiasts with the practical skills needed to build, evaluate, and deploy advanced machine learning solutions across domains. Covering both fundamental and advanced topics, this book blends theory, hands-on examples, and real-world workflows to empower readers to harness R's full capabilities.\u003cbr\u003eLearn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePreprocess, clean, and transform data for robust analysis.\u003c\/li\u003e\n\u003cli\u003eBuild predictive models with regression, classification, and time series techniques.\u003c\/li\u003e\n\u003cli\u003eApply natural language processing and text analytics to extract insights from unstructured data.\u003c\/li\u003e\n\u003cli\u003eExplore clustering, dimensionality reduction, and anomaly detection in unsupervised learning.\u003c\/li\u003e\n\u003cli\u003eOptimize models through hyperparameter tuning, ensemble methods, and stacking strategies.\u003c\/li\u003e\n\u003cli\u003eDevelop reproducible workflows, pipelines, and deployment-ready solutions in R.\u003c\/li\u003e\n\u003c\/ul\u003eEach chapter is written in a clear, third-person narrative, providing step-by-step guidance without copying existing materials. Whether you are a beginner aiming to understand R's machine learning ecosystem or an experienced practitioner looking to implement integrated, high-performance models, this book provides a roadmap to mastering the art of data-driven decision-making.\u003cbr\u003eHarness the power of R to explore, analyze, and predict like never before. From structured datasets to complex textual information, this book delivers the tools and insights needed to become a proficient R-based machine learning practitioner.","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46333500162199,"sku":"9798299106329","price":1470.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798299106329.webp?v=1768669714","url":"https:\/\/atlanticbooks.com\/products\/r-for-data-science-implementing-machine-learning-models-9798299106329","provider":"Atlantic Books","version":"1.0","type":"link"}