Data Systems > SOLUTIONS MANUAL > Solution Manual for Introduction to Data Science Data Analysis and Prediction Algorithms with R 1st (All)
Solution Manual for Introduction to Data Science Data Analysis and Prediction Algorithms with R 1st Edition By Rafael Irizarry
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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 probab... ility, 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. Each part has several chapters meant to be presented as one lecture. [Show More]
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