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Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner
Put Predictive Analytics into Action and uncover hidden patterns to aid important decisions.
Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner
Item #: 81860539

Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner

Item #: 81860539

HTG 8298

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Put Predictive Analytics into Action and uncover hidden patterns to aid important decisions.
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What Stands Out

Comprehensive Guide
This book offers in-depth insights into predictive analytics and data mining concepts, providing readers with a complete understanding of RapidMiner tools and techniques for effective data analysis.
Practical Applications
Focusing on real-world scenarios, it demonstrates the application of data mining concepts using RapidMiner, ensuring readers can apply theoretical knowledge to practical challenges in various industries.
User-Friendly Approach
Designed for both beginners and experienced users, it presents complex topics in an approachable manner, complete with examples and exercises, making it easy to learn and master predictive analytics.

Product Details

Shop Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner online at a best price in Haiti. 0128014601
Country of OriginThis item will be imported from US
Item Weight1.2 lbs (540 grams)
What is in the boxPredictive Analytics and Data... For more details, please check description/product details

Who Should Buy?

Suitable For
  • Data Analysts

    Ideal for data analysts looking to enhance skills in predictive analytics using RapidMiner software effectively.

  • Students and Learners

    Great resource for students seeking practical knowledge in data mining and predictive analytics techniques.

  • Business Professionals

    Useful for business professionals aiming to leverage data insights for strategic decision-making in their organizations.

Not Suitable For
  • Total Beginners

    Not suitable for individuals with no prior knowledge of statistics or data analysis concepts.

Product Description

Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner

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Customer Questions & Answers

  • Question: Who is this book suitable for?

    Answer: It's ideal for business users, data analysts, business analysts, and anyone wanting to learn Data Mining.
  • Question: What tools are covered in the book?

    Answer: The book focuses on the open-source RapidMiner tool for executing data mining techniques.
  • Question: Can I access additional resources related to the book?

    Answer: Yes, implementation files can be downloaded from the book's companion site at www.LearnPredictiveAnalytics.com.

Intelligence & Semantics Editorial Review

**** “Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner” by Vijay Kotu and Bilshan Deshpande presents a comprehensive introduction to data mining and predictive analytics, tailored particularly for novices and individuals who may find mathematics challenging. The authors effectively combine theoretical concepts with practical applications, utilizing RapidMiner as the central software tool for real-world implementation. Many customers commend the book for its wealth of illustrations and clear explanations, particularly noting the examples such as the iconic Iris dataset, which clarify complex notions. Readers appreciate the book's structured approach, allowing even those new to the field to grasp the intricacies of predictive analytics. While some users express a desire for a more in-depth exploration of RapidMiner earlier in the book, they recognize its substantial value for anyone involved in ecommerce or interested in leveraging data analysis to drive business decisions. However, some critiques focus on the need for a deeper exploration of model evaluation and results interpretation, suggesting that these areas could be addressed more thoroughly. Overall, Kotu and Deshpande’s expertise shines through, making the book a beneficial resource for both aspiring data scientists and seasoned analysts seeking to enhance their skill set with practical tools. **

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Pros

  • Clear explanations suited for novices and those without a strong math background.
  • Abundant illustrations and worked examples enhance understanding.
  • Well-structured format that allows readers to learn through hands-on exercises.
  • Effective integration of theoretical concepts with practical application using RapidMiner.
  • Strong recommendation from users involved in data-driven decision-making roles.

Cons

  • Some readers wanted more application of RapidMiner concepts earlier in the text.

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