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
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Type of courseOpen Resource: openly licensed instructional digital materials such as text, videos, audio files and other media.
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Cost and certificationFree. No certificate available.
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DurationSelf-paced
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Weekly effortSelf-paced
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Difficulty levelAdvanced: Requires specialist knowledge
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Learning platformOpen Educational ResourcesPlatform image