Predicting Automobile Prices Using Neural Networks (Teaching note)

Teaching note - See case 'Predicting Automobile Prices Using Neural Networks' for full details

This exercise is suitable for undergraduate- and graduate-level courses on management science. Students should have previous knowledge of basic statistical distributions, Microsoft Excel formulas, and R programming language. After working through the exercise and assignment questions, students will be able to do the following: ·Understand neural networks and their applications. ·Use R programming language. ·Compare and contrast the advantages and disadvantages of different prediction models and determine which is most suitable for car pricing.

car manufacturing; pricing; machine learning; regression; neural networks

Undergraduate/MBA

Manufacturing

Année de la problématique : 2018

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