The book Learn Data Science with R covers minimal theory, practical examples, and projects. It starts with an explanation of the underlying concepts of data science, followed by implementing them in R language. Learn linear regression, logistic regression, random forests, and other machine learning algorithms. The hands-on projects provide a detailed step-by-step guide for analyzing and predicting data.
The book covers the following topics –
- R Language
- Statistics and Mathematics
- Data Transformation
- Data Visualization
- Machine Learning
- Hands-on projects
Book Details – Chapters – 12, pages – 250
About the Author –
Narayana Nemani is currently working as a Lead Data Scientist, and is involved in the teaching and research of data science.