- KNIME - Discussion
- KNIME - Useful Resources
- KNIME - Quick Guide
- KNIME - Summary and Future Work
- KNIME - Testing the Model
- KNIME - Building Your Own Model
- KNIME - Exploring Workflow
- KNIME - Running Your First Workflow
- KNIME - Workbench
- KNIME - First Run
- KNIME - Installation
- KNIME - Introduction
- KNIME - Home
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
KNIME - Summary and Future Work
KNIME provides a graphical tool for building Machine Learning models. In this tutorial, you learned how to download and install KNIME on your machine.
Summary
You learned the various views provided in the KNIME workbench. KNIME provides several predefined workflows for your learning. We used one such workflow to learn the capabipties of KNIME. KNIME provides several pre-programmed nodes for reading data in various formats, analyzing data using several ML algorithms, and finally visuapzing data in many different ways. Towards the end of the tutorial, you created your own model starting from scratch. We used the well-known iris dataset to classify the plants using k-Means algorithm.
You are now ready to use these techniques for your own analytics.
Future Work
If you are a developer and would pke to use the KNIME components in your programming apppcations, you will be glad to know that KNIME natively integrates with a wide range of programming languages such as Java, R, Python and many more.
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