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Data Science in 7 days: R Language Fast-Track with Hands-on Projects
Data Science in 7 days: R Language Fast-Track with Hands-on Projects
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Data Science in 7 days: R Language Fast-Track with Hands-on Projects

Lue Adobe DRM-yhteensopivassa e-kirjojen lukuohjelmassaTämä e-kirja on kopiosuojattu Adobe DRM:llä, mikä vaikuttaa siihen, millä alustalla voit lukea kirjaa. Lue lisää
Unlock the Power of Data – No Prior Experience Required!Unlike dense, theoretical textbooks, Data Science in 7 Days: R Language Fast-Track with Hands-on Projects is practical and minimalist, helping you quickly master data science.Bridge the gap from beginner to pro. This book guides you in data analysis, statistics, and predictive modeling, providing a streamlined path through data preparation, regression, and classification.The hands-on projects effectively connect concepts to real-world applications, providing you with practical, step-by-step experience in applying Machine Learning techniques.Master the Essentials of Data Science.Rapid R Mastery: Learn R syntax and programming fundamentals in record time.End-to-End Workflow: Navigate all the aspects of data science, from data collection to the presentation of prediction models.Data Wrangling: Transform data using the powerful data table package.Visual Storytelling: Master the art of visual storytelling. Learn how to select the perfect chart for any dataset. Transform raw numbers into stunning, professional-grade visualizations using ggplot2.Predictive Analytics: Leverage Machine Learning to make data-driven predictions.Why does this book stand out?Precision Learning: Simple explanations paired with high-impact coding examples to build proficiency fast. The narrative is concise.Applied Learning: Work with real datasets to solve real-world problems.Ready to get started? Begin mastering data science with R today!
Kirjailija
Narayana Nemani
ISBN
9798235274389
Kieli
englanti
Julkaisupäivä
4.5.2026
Formaatti
  • Epub - Adobe DRM
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  • Lue e-kirja mobiililaitteella/tabletilla
  • Lukulaite
  • Tietokone