- From www.edx.org
Successfully Evaluating Predictive Modelling
- 6 Sequences
- Advanced Level
- Starts on October 25, 2021
- Ends on December 19, 2021
Course details
Syllabus
Week 1: Evaluation Metrics and Feature Selection
Week 2: Feature Selection and Correlation Analysis
Week 3: Feature Selection with Decomposition Techniques
Week 4: Sampling Techniques
Week 5: Resampling Techniques
Week 6: Case Study
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 MicroMasters programme are strongly recommended to complete PA1.1x Introduction to Predictive Analytics using Python 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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