Introduction to Data Science, 2E by Rafael A. Irizarry (.PDF)

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File Size: 190.7 MB

Introduction to Data Science: Data Wrangling and Visualization with R, 2nd Edition by Rafael A. Irizarry
Requirements: .PDF reader, 190.7 MB
Overview: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in Data Science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, Machine Learning, and productivity tools.
Genre: Non-Fiction > Tech & Devices

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