Predictive Analytics with KNIME: Analytics for Citizen Data Scientists

Price: $89.99
(as of Dec 27,2024 04:48:04 UTC – Details)

Publisher ‏ : ‎ Springer (November 30, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 328 pages
ISBN-10 ‏ : ‎ 3031456327
ISBN-13 ‏ : ‎ 978-3031456329
Item Weight ‏ : ‎ 1.03 pounds
Dimensions ‏ : ‎ 6.1 x 0.74 x 9.25 inches

Predictive Analytics with KNIME: Analytics for Citizen Data Scientists

Predictive analytics is a powerful tool that allows organizations to forecast future trends and behaviors based on historical data. With the rise of big data and machine learning, predictive analytics has become an essential part of decision-making processes in various industries.

KNIME is a popular open-source data analytics platform that enables users to build and deploy predictive models without the need for extensive programming knowledge. This makes it an ideal tool for citizen data scientists – individuals who may not have a background in data science but are interested in leveraging data for insights.

In this post, we will explore how KNIME can be used for predictive analytics by citizen data scientists. We will discuss the key features of KNIME that make it a valuable tool for building predictive models, such as its drag-and-drop interface, extensive library of nodes for data processing and modeling, and integration with popular machine learning algorithms.

We will also showcase some real-world examples of predictive analytics projects that can be implemented using KNIME, such as customer churn prediction, sales forecasting, and sentiment analysis.

Overall, KNIME provides citizen data scientists with the tools they need to harness the power of predictive analytics and make data-driven decisions. Whether you are a business analyst, marketer, or researcher, KNIME can help you unlock valuable insights from your data and drive better outcomes for your organization.
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