
- 424 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Simple Machine Learning Models using R Programming
About this book
Machine learning simplifies complex decision-making by enabling computers to learn patterns from data. R programming offers an accessible and flexible environment for implementing machine learning algorithms. Simple Machine Learning Models using R Programming introduces foundational models like linear regression, decision trees, clustering, and classification. It emphasizes hands-on learning through examples and step-by-step R implementations. Readers gain practical skills in data analysis, model evaluation, and performance optimization. The book bridges theoretical understanding with real-world applications, serving as a beginner-friendly guide for data enthusiasts and professionals.
Information
Publisher
Arcler PresseBook ISBN
9781834413501
Year
2026Table of contents
- Cover
- Title Page
- Copyright
- About the Author
- Table of Contents
- List of Figures
- Preface
- Chapter 1: Introduction to Cold-Climate Farming
- Chapter 2: Understanding Cold-Climate Ecology
- Chapter 3: Soil Management in Cold Regions
- Chapter 4: Cold-Hardy Crops and Varietal Breeding
- Chapter 5: Indoor Farming and Controlled Environments
- Chapter 6: Irrigation in Sub-Freezing Conditions
- Chapter 7: Energy Management and Renewable Solutions
- Chapter 8: Winter Pests and Diseases
- Chapter 9: Long-Term Crop Storage Strategies
- Chapter 10: Cold-Climate Farm Economics
- Index
- Back Cover
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