Data Science Live Book
By:Pablo Casas
Published on 2018-03-16 by
This book is a practical guide to problems that commonly arise when developing a machine learning project. The book's topics are: Exploratory data analysis Data Preparation Selecting best variables Assessing Model Performance More information on predictive modeling will be included soon. This book tries to demonstrate what it says with short and well-explained examples. This is valid for both theoretical and practical aspects (through comments in the code). This book, as well as the development of a data project, is not linear. The chapters are related among them. For example, the missing values chapter can lead to the cardinality reduction in categorical variables. Or you can read the data type chapter and then change the way you deal with missing values. You¿ll find references to other websites so you can expand your study, this book is just another step in the learning journey. It's open-source and can be found at http://livebook.datascienceheroes.com
This Book was ranked at 16 by Google Books for keyword life at the extremes.
Book ID of Data Science Live Book's Books is MRYLtAEACAAJ, Book which was written byPablo Casashave ETAG "+IkFm7wV7d4"
Book which was published by since 2018-03-16 have ISBNs, ISBN 13 Code is 9789874269041 and ISBN 10 Code is 9874269049
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