Introduction to Predictive Analytics using Python
Introduction to Predictive Analytics using Python
From the University of Edinburgh with Dr Xuefei Lu, Dr Johannes De Smedt and Dr Zexun Chen.
These videos are free, open resources unless otherwise stated, originally created for our 'Introduction to Predictive Analytics' short online course. The course is no longer running but you can still work through the resources in your own time using the videos in this channel.
The videos in this playlist provides you with the skills to build a predictive model from the ground up, using Python. They will help you understand the data discovery process and how to make connections between the predicting and predicted variables. Through the analysis of real-life data, you will also develop an approach to implement simple linear and logistic regression models. 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).
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From Lizzy Garner-Foy
User guide for coding platform Vocareum -
From Lizzy Garner-Foy
The KDD Cycle - Week 6 -
From Lizzy Garner-Foy
Predicting Visitor Count - Week 1 -
From Calum Macphail
Transforming Variables - Week 4 -
From Calum Macphail
Converting Variables - Week 4 -
From Calum Macphail
Classification and Regression - Week 1 -
From Calum Macphail
Welcome - Course introduction -
From Calum Macphail
Datasets and Problem Scenario - Week 6 -
From Calum Macphail
Linear regression - Week 6 -
From Calum Macphail
Incompatible Data Sources - Week 5 -
From Calum Macphail
Missing Values - Week 5 -
From Geoff Fortescue
Variable Types - Week 2
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