Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

University of Edinburgh

Predictive Analytics using Machine Learning

University of Edinburgh via edX

This course may be unavailable.

Overview

This course is running for the final time – if you wish to sign up then you must do so by 15 April 2022.

This course will give you an overview of machine learning-based approaches for predictive modelling, including tree-based techniques, support vector machines, and neural networks using Python. These models form the basis of cutting-edge analytics tools that are used for image classification, text and sentiment analysis, and more.

The course contains two case studies: forecasting customer behaviour after a marketing campaign, and flight delay and cancellation predictions.

You will also learn:

  • Sampling techniques such as bagging and boosting, which improve robustness and overall predictive power, as well as random forests
  • Support vector machines by introducing you to the concept of optimising the separation between classes, before diving into support vector regression
  • Neural networks; their topology, the concepts of weights, biases, and kernels, and optimisation techniques

Syllabus

Week 1: Decision trees
Week 2: Random forests and support vector machines
Week 3: Support vector machines
Week 4: Neural networks
Week 5: Neural network estimation and pitfalls
Week 6: Model comparison

Taught by

Dr Johannes De Smedt

Reviews

Start your review of Predictive Analytics using Machine Learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.