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R for Data Science Implementing Machine Learning Models - MARY. M. ADEPOJU,Olaoluwa S Yaya

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2025-08-21
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Unlock the power of machine learning in R with R for Data Science: Implementing Machine Learning Models. 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 workfl ... Visas aprašymas

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Unlock the power of machine learning in R with R for Data Science: Implementing Machine Learning Models. 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.
Learn how to:
  • Preprocess, clean, and transform data for robust analysis.
  • Build predictive models with regression, classification, and time series techniques.
  • Apply natural language processing and text analytics to extract insights from unstructured data.
  • Explore clustering, dimensionality reduction, and anomaly detection in unsupervised learning.
  • Optimize models through hyperparameter tuning, ensemble methods, and stacking strategies.
  • Develop reproducible workflows, pipelines, and deployment-ready solutions in R.
Each 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.
Harness 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.

Daugiau informacijos

Autorius MARY. M. ADEPOJU, Olaoluwa S Yaya
Leidėjas Amazon Digital Services LLC - Kdp
Išleidimo metai 2025
Viršelio tipas Minkšti viršeliai
EAN 9798299106329
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21,30 € 28,40 €