HomeCourseIntroduction to Machine Learning for Non-Programmers

Introduction to Machine Learning for Non-Programmers

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.
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Not Enrolled
Price
$2,195.00

Introduction to Machine Learning for Non-Programmers

  • Duration: 2 days
  • Lab: Yes
  • Language: English
  • Level: Foundation

 

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.

 

Delivery Methods

  • In-Person

  • Online

 

Course Information

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

 

 Prerequisites

None

 

Course Content

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Introduction to Machine Learning for Non-Programmers Course Outline
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This course includes:
  • Learners 1 Student
  • Lessons 6
  • Topics 24
  • Duration 2 Days
  • Quizzes 0
  • Language English
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