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Online Course

Predictive Analytics using Machine Learning

University of Edinburgh via edX

(0)
  • Provider edX
  • Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate $300 Certificate Available
  • Effort 8-10 hours a week
  • Duration 6 weeks long
  • Learn more about MOOCs

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Overview

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

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