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Machine Learning With R For Beginners: Build Predictive Models, Classification Systems, And Data Science Projects Step By Step (the Applied Data
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Product Details
| Publisher | Independently published |
| Publication date | March 9, 2026 |
| Language | English |
| Print length | 146 pages |
| ISBN-13 | 979-8251445145 |
| Item Weight | 9.8 ounces (277.83 grams) |
| Dimensions | 6 x 0.33 x 9 inches (15.2 x 0.8 x 22.9 cm) |
| Book 25 of 27 | THE APPLIED DATA SCIENCE WITH R SERIES |
Product Description
Machine Learning With R For Beginners: Build Predictive Models, Classification Systems, And Data Science Projects Step By Step (the Applied Data Science With R Series)
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Features & Benefits
- Step-by-step guidance for building predictive models and classification systems.
- Designed for beginners with little or no experience in R programming.
- Covers essential machine learning concepts and algorithms in clear language.
- Introduces real-world projects like customer churn prediction and sales forecasting.
- Focuses on practical workflows and model evaluation metrics.
- Equips readers with tools to harness R's powerful ecosystem for data science.
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