Predictive Analytics: Identifying Machine Failures

Predictive Analytics    |    Intermediate
  • 11 videos | 1h 10m 20s
  • Includes Assessment
  • Earns a Badge
Rating 4.6 of 8 users Rating 4.6 of 8 users (8)
Machines are the building blocks of manufacturing facilities, and facilities have grown larger and more complex over time, resulting in the increased effects of a single machine failure. Artificial intelligence (AI) and machine learning (ML) models are commonly used to quickly get ahead of and diagnose machine failures. In this course, learn how to create an Azure Machine Learning workspace for building models that predict machine failures. Next, practice performing preprocessing tasks on machine failure prediction data. Finally, discover how to perform machine failure prediction using logistic regression. Upon completion, you'll be able to detect machine failures using machine learning methods.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Create an azure machine learning workspace and upload a file as a dataset
    View the dataset profile and create a pipeline
    Analyze a machine failure prediction dataset
    Visualize data for machine failure prediction
    Perform preparations on machine failure prediction data
  • Use pipelines to prepare machine failure data
    Set up a machine learning (ml) model for machine failure prediction
    Create a pipeline for a machine failure prediction model
    View the performance of a machine failure prediction model
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 54s
  • 8m 18s
  • Locked
    3.  Viewing the Dataset Profile
    5m 24s
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    4.  Analyzing a Machine Failure Prediction Dataset
    7m 37s
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    5.  Visualizing Attributes of Machine Failure Prediction
    7m 37s
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    6.  Prepping Machine Failure Prediction Data
    6m 20s
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    7.  Preparing Machine Failure Data Using Pipelines
    5m 34s
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    8.  Setting Up a Model for Machine Failure Prediction
    7m 26s
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    9.  Creating a Machine Failure Prediction Model Pipeline
    6m 13s
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    10.  Predicting Machine Failures Using Machine Learning
    9m 57s
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    11.  Course Summary
    4m 1s

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