EAN: 9781683926757

Bilder-Quelle: discount24.de - Sport-Freizeit

With many recent advances in data science we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Most of the exercises use R and Python but rather than focus on coding algorithms the book employs interactive interfaces to these tools to perform the analysis. Using the CRISP-DM data mining standard the early chapters cover conducting the preparatory steps in data mining: translating business information needs into framed analytical questions and data preparation. The Jamovi and the JASP interfaces are used with R and the Orange3 data mining interface with Python. Where appropriate Voyant and other open-source programs are used for text analytics. The techniques covered in this book range from basic descriptive statistics such as summarization and tabulation to more sophisticated predictive techniques such as linear and logistic regression clustering classification and text analytics. Includes companion files with case study files solution spreadsheets data sets and charts etc. from the book. Features: Covers basic descriptive statistics such as summarization and tabulation to more sophisticated predictive techniques such as linear and logistic regression clustering classification and text analytics Uses R Python Jamovi and JASP interfaces and the Orange3 data mining interface Includes companion files with the case study files from the book solution spreadsheets data sets etc.

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15.03.2025 um 14:12 Uhr

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