Price: $119.99 – $102.00
(as of Dec 24,2024 09:28:20 UTC – Details)
Publisher : Springer; 1st ed. 2023 edition (November 30, 2023)
Language : English
Hardcover : 327 pages
ISBN-10 : 3031456297
ISBN-13 : 978-3031456299
Item Weight : 1.41 pounds
Dimensions : 6.14 x 0.75 x 9.21 inches
Predictive analytics is a powerful tool for businesses and organizations looking to make data-driven decisions. With the rise of citizen data scientists – individuals without formal training in data science who are interested in analyzing data – the demand for user-friendly analytics tools has never been higher.
One such tool is KNIME, a free and open-source platform that allows users to easily perform predictive analytics and machine learning tasks without needing advanced technical skills. KNIME offers a drag-and-drop interface that makes it easy for citizen data scientists to build predictive models, visualize data, and make informed decisions.
In this post, we will explore how KNIME can be used for predictive analytics by citizen data scientists. We will discuss some of the key features of KNIME, such as its ability to handle large datasets, integrate with other data sources, and automate workflows. We will also provide examples of how KNIME can be used to build predictive models for tasks such as sales forecasting, customer segmentation, and fraud detection.
Overall, KNIME is a powerful tool that empowers citizen data scientists to harness the power of predictive analytics. By using KNIME, individuals without formal training in data science can unlock valuable insights from their data and make better decisions for their organizations.
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