Predictive Analytics using Machine Learning
Predictive Analytics using Machine Learning
From the University of Edinburgh with Dr Xuefei Lu, Dr Johannes De Smedt and Dr Zexun Chen.
These videos will help you discover machine learning-based approaches for predictive modelling, including tree-based techniques, support vector machines, and neural networks using Python. You will learn how these models form the basis of cutting-edge analytics tools that are used for image classification, text and sentiment analysis, and how to apply machine learning models to business situations. Ideal for those building a career as a data scientist, business analyst, management consultant or systems designer.
These videos are free open resources originally created for the short course, Predictive Analytics using Machine Learning.
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 Calum Macphail
Neural Networks -
From Stuart Brett
Random Forests - Week 2 -
From Stuart Brett
Splitting Criteria - Week 1 -
From Stuart Brett
Decision Trees - Week 1 -
From Stuart Brett
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From Calum Macphail
Setting the Scene - Week 6 -
From Calum Macphail
Overfitting - Week 5 -
From Calum Macphail
Training Neural Networks - Week 5 -
From Calum Macphail
Activation Functions - Week 4 -
From Calum Macphail
Building a Decision Tree - Week 1 -
From Calum Macphail
Welcome - Introduction to the course -
From Lizzy Garner-Foy
User guide for coding platform Vocareum