YoVDO

Successfully Evaluating Predictive Modelling

Offered By: University of Edinburgh via edX

Tags

Predictive Modelling Courses Python Courses Sampling Courses Correlation Analysis Courses Feature Selection Courses Resampling Courses

Course Description

Overview

A predictive exercise is not finished when a model is built. This course will equip you with essential skills for understanding performance evaluation metrics, using Python, to determine whether a model is performing adequately.

Specifically, you will learn:

  • Appropriate measures that are used to evaluate predictive models
  • Procedures that are used to ensure that models do not cheat through, for example, overfitting or predicting incorrect distributions
  • The ways that different model evaluation criteria illustrate how one model excels over another and how to identify when to use certain criteria

This is the foundation of optimising successful predictive models. The concepts will be brought together in a comprehensive case study that deals with customer churn. You will be tasked with selecting suitable variables to predict whether a customer will leave a telecommunications provider by looking into their behaviour, creating various models, and benchmarking them by using the appropriate evaluation criteria.


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


Taught by

Dr Johannes De Smedt

Tags

Related Courses

Practical Predictive Analytics: Models and Methods
University of Washington via Coursera
Predictive Modeling and Analytics
University of Colorado Boulder via Coursera
Predictive Modeling in Learning Analytics
University of Texas Arlington via edX
How to Win a Data Science Competition: Learn from Top Kagglers
Higher School of Economics via Coursera
Predictive Modeling and Transforming Clinical Practice
University of Colorado System via Coursera