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by Abhishek Singh, Karthik Ramasubramanian
Machine Learning Using R
Cover
Frontmatter
1. Introduction to Machine Learning and R
2. Data Preparation and Exploration
3. Sampling and Resampling Techniques
4. Data Visualization in R
5. Feature Engineering
6. Machine Learning Theory and Practices
7. Machine Learning Model Evaluation
8. Model Performance Improvement
9. Scalable Machine Learning and Related Technologies
Backmatter
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