Statistical Predictive Modelling and Applications
Statistical Predictive Modelling and Applications
From the University of Edinburgh with Dr Xuefei Lu, Dr Johannes De Smedt and Dr Zexun Chen.
The videos in this playlist will give you an in-depth understanding of how to apply statistical modelling techniques to real-world business scenarios using Python.
You will learn how to discover how predictive models influence real-world business scenarios, translate business challenges into predictive modelling solutions and develop experience with implementing theoretic models in Python.
These videos are free open resources originally created for the short course, Statistical Predictive Modelling and Applications.
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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From Lizzy Garner-Foy
User guide for coding platform Vocareum -
From Calum Macphail
Interpreting Results - week 5 -
From Calum Macphail
Simple Linear Regression: Estimation - Week 1 -
From Calum Macphail
Extensions and Applications - week 3 -
From Geoff Fortescue
Bayes' Theorem - Week 4 -
From Geoff Fortescue
Welcome -
From Geoff Fortescue
Logistic Regression - week 5 -
From Stuart Brett
MLR: Interpretation -
From Stuart Brett
Linear Regression - Week 1 -
From Calum Macphail
Applications of Linear Regression - week 3 -
From Calum Macphail
Multiple Linear Regression: Model Selection - Week 2
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