Successfully Evaluating Predictive Modelling

Successfully Evaluating Predictive Modelling

From the University of Edinburgh with Dr Xuefei Lu, Dr Johannes De Smedt and Dr Zexun Chen.

These videos will give you an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using Python. You will learn how to 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 and understand the techniques used in recommended systems. A background in mathematics and statistics is recommended and previous experience with a procedural programming language is beneficial (e.g. Python, C, Java, Visual Basic).

These videos are free open resources originally created for the short course, Successfully Evaluating Predictive Modelling.

This course is no longer running but you can still work through the resources in your own time using the videos in this channel.

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