The Statistics and Machine Learning with R Workshop is a comprehensive resource packed with insights into statistics and machine learning, along with a deep dive into R libraries. The learning experience is further enhanced by practical examples and hands-on exercises that provide explanations of key concepts.
Starting with the fundamentals, you’ll explore the complete model development process, covering everything from data pre-processing to model development. In addition to machine learning, you’ll also delve into R's statistical capabilities, learning to manipulate various data types and tackle complex mathematical challenges from algebra and calculus to probability and Bayesian statistics. You’ll discover linear regression techniques and more advanced statistical methodologies to hone your skills and advance your career.
By the end of this book, you'll have a robust foundational understanding of statistics and machine learning. You’ll also be proficient in using R's extensive libraries for tasks such as data processing and model training and be well-equipped to leverage the full potential of R in your future projects.

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Spis treści

The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide eBook -- spis treści

• 1. Getting Started with R
• 2. Data Processing with dplyr
• 3. Intermediate Data Processing
• 4. Data Visualization with ggplot2
• 5. Exploratory Data Analysis
• 6. Effective Reporting with R Markdown
• 7. Linear Algebra in R
• 8. Intermediate Linear Algebra in R
• 9. Calculus in R
• 10. Probability Basics
• 11. Statistics Estimation
• 12. Linear Regression in R
• 13. Logistic Regression in R
• 14. Bayesian Statistics