Practical Data Science with R 2nd Edition by Nina Zumel

Publisher: COMPUTER SCIENCE

Availability: In Stock
SKU: 48215
Number of Pages: 483

Rs.995.00

Rs.1,350.00

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Description

The second edition of "Practical Data Science with R" by Nina Zumel and John Mount is an essential guide that bridges the gap between data science theory and practical application. This edition focuses on using the R programming language to perform data analysis, build predictive models, and derive actionable insights from data. The book covers the entire data science process, from data preparation and exploration to modeling and evaluation, providing clear explanations and real-world examples that make complex concepts accessible. It is an invaluable resource for data scientists, analysts, and anyone interested in leveraging the power of R for data-driven decision-making.

Comprehensive Data Science Workflow
Covers the complete data science workflow, including data preparation, exploration, modeling, and evaluation, ensuring a holistic understanding.
Practical Examples
Real-world case studies and examples illustrate how to apply data science techniques using R, making the content practical and relevant.
Hands-On Exercises
Interactive exercises and projects provide hands-on experience, reinforcing learning and helping readers apply concepts to real data problems.
Advanced Topics
Includes coverage of advanced data science topics such as machine learning, model evaluation, and deployment, catering to both beginners and experienced practitioners.
Clear Explanations
Complex data science concepts are explained in a straightforward manner, making the book accessible to readers with varying levels of expertise.

In conclusion, "Practical Data Science with R, Second Edition" by Nina Zumel and John Mount is a comprehensive and practical guide for mastering data science with R. Its detailed coverage of the data science workflow, practical examples, and hands-on approach make it an essential resource for anyone looking to excel in data science.

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Writer ✤ Nina Zumel (Author), John Mount (Author)

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