Predictive Analytics with KNIME: Analytics for Citizen Data Scientists 1st Edition Acito – Ebook Instant Download/Delivery ISBN(s): 9783031456299,9783031456305,3031456297,3031456300
Product details:
• ISBN 10: 3031456297
• ISBN 13:9783031456305
• Author:
The book uses KNIME, which is a comprehensive, open-source software tool for analytics that does not require coding but instead uses an intuitive drag-and-drop workflow to create a network of connected nodes on an interactive canvas. KNIME workflows provide graphic representations of each step taken in analyses, making the analyses self-documenting. The graphical documentation makes it easy to reproduce analyses, as well as to communicate methods and results to others. Integration with R is also available in KNIME, and several examples using R nodes in a KNIME workflow are demonstrated for special functions and tools not explicitly included in KNIME.
Table contents:
1. Introduction to Analytics
2. Problem Definition
3. Introduction to KNIME
4. Data Preparation
5. Dimensionality Reduction
6. Ordinary Least Squares Regression
7. Logistic Regression
8. Classification and Regression Trees
9. Naïve Bayes
10. k Nearest Neighbors
11. Neural Networks
12. Ensemble Models
13. Cluster Analysis
14. Communication and Deployment
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