R for Data Science Implementing Machine Learning Models - MARY. M. ADEPOJU,Olaoluwa S Yaya
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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 ... Full description
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Description
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.
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.
More Information
| Author | MARY. M. ADEPOJU, Olaoluwa S Yaya |
|---|---|
| Publisher | Amazon Digital Services LLC - Kdp |
| Release year | 2025 |
| Cover type | Softcover |
| EAN | 9798299106329 |