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Model Management: Building Machine Learning Models & Pipelines

Model Management: Building Machine Learning Models & Pipelines


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore various approaches to building and implementing machine learning models and pipelines and how to manage classification and regression problems.



Expected Duration (hours)
0.5

Lesson Objectives

Model Management: Building Machine Learning Models & Pipelines

  • recognize the differences between machine learning models and algorithms
  • identify the different types of machine learning models
  • describe the approaches and steps involved in developing machine learning models
  • create and save machine learning models using scikit-learn
  • list machine learning models that can be used to manage classification and regression problems
  • build machine learning pipelines
  • list prominent tools that can be used to build machine learning pipelines
  • implement machine learning pipelines using scikit-learn
  • recall the steps involved in iterative machine learning model management and the associated benefits
  • build machine learning models and pipelines using scikit-learn
  • Course Number:
    it_mlfdmmdj_01_enus

    Expertise Level
    Intermediate