Introduction to Machine Learning for Non-Programmers
Course Outline
This No Code Machine Learning course provides a practical and accessible approach to utilizing no code Machine Learning for data evaluation, prediction, analysis, and optimization. Designed for both non-technical and technical data users, it equips you with foundational knowledge to enhance collaboration between business analysts, data scientists, and data engineers.
Introduction to Machine Learning for Non-Programmers Benefits
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In this course, you will learn how to:
- Create No Code Machine Learning Models: You'll learn to create common no code Machine Learning models using user-friendly, industry-standard, drag-and-drop tools.
- Prepare and Analyze Data: Understand how to prepare and explore data to be used with Machine Learning models effectively.
- Select Pre-built Pipelines and Algorithms: Discover how to choose pre-built pipelines and algorithms to train your Machine Learning models.
- Explore Ready-to-Use Models: Explore ready-to-use models for tasks like natural language processing and computer vision.
- Clustering and Regression Models: Learn to group items into clusters using a no-code Clustering Model and predict numeric values using a no-code Regression Model.
- Classification Models: Master the art of predicting item categories using a no-code Classification Model.
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Training Prerequisites
None.
Introduction to Machine Learning Training Outline
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