Successfully Evaluating Predictive Modelling

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Medium description

Gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using Python.

Through the videos in this open resource you will:

  • analyse the accuracy and quality of a predictive model
  • implement effective measures and strategies to measure models
  • evaluate datasets to determine appropriateness and strength of techniques
  • understand the techniques used in recommended systems.

The open resource will be useful for those who want to build their career as a data scientist, business analyst, management consultant, systems designer or similar.

These videos are free open resources originally created for the short course, Successfully Evaluating Predictive Modelling. Although the course is no longer running, you can still work through the content in your own time using the videos in this open resource.​

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This resource is hosted on the University's Media Hopper channel.

Summary
  • Type of course
    Open Resource: openly licensed instructional digital materials such as text, videos, audio files and other media.
  • Cost and certification
    Free. No certificate available.
  • Duration
    Self-paced​
  • Weekly effort
    Self-paced
  • Difficulty level
    Advanced: Requires specialist knowledge
  • Learning platform
    Open Educational Resources
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