- From www.edx.org
Predictive Analytics using Machine Learning
- 6 Sequences
- Advanced Level
- Starts on March 14, 2022
- Ends on May 8, 2022
Course details
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
Prerequisite
You should be familiar with an undergraduate level, or have a background, in mathematics and statistics. Previous experience with a procedural programming language is beneficial (e.g. Python, C, Java, Visual Basic).
Learners pursuing the MicroMastersprogramme are strongly recommended to complete PA1.1x Introduction to Predictive Analytics using Python and PA1.2x Successfully Evaluating Predictive Modelling and PA1.3x Statistical Predictive Modelling and Applications on the verified track prior to undertaking this course.
Instructors
Dr Xuefei Lu
Lecturer in Predictive Analytics
University of Edinburgh
Sofia Varypati
Course Tutor
University of Edinburgh
Obinna Unigwe
Course Tutor
The University of Edinburgh
Dr Johannes De Smedt
Assistant Professor in Business Information Systems
KU Leuven
Dr Zexun Chen
Lecturer in Predictive Analytics
University of Edinburgh
Platform
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