Introduction to Predictive Analytics using Python

Introduction to Predictive Analytics using Python
These videos were created for our short online course, Introduction to Predictive Analytics using Python. This course ran from 2019 to 2021 on edX. While the full content of the course is no longer available, we have made the videos from the course free and open so you can work through the resources in your own time.

This collection of high-quality media resources has been made available under Creative Commons licence for sharing, reuse and remixing.

Please note that the videos are representative of the views and research at the time of recording.

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).

From the University of Edinburgh with Dr Xuefei Lu, Dr Johannes De Smedt and Dr Zexun Chen.
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 Calum Macphail
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 Andres Ordorica
 Lizzy Garner-Foy
 Marcello Crolla
 Luke Howard
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