Presenter Information: Jose Rodriguez, The Pythian Group (Canada)Recording Date: Thursday, April 30, 2020 10:30 a.m. - 11:30 a.m. ETDuration: 1 hourAbstract:The Taxi Fare prediction is a well-known problem in machine learning (ML): we have to design, train and test an ML model to predict the taxi fare a customer of the NY City cab company will pay for a ride. This is a basic example used in several ML introductory courses and also ML and artificial intelligence (AI) websites as a foundation for more advanced topics. We will see how the data was prepared, some powerful tools included in the Oracle Data Mining module for SQL*Developer, the PL/SQL code involved to create the model and, of course, some testing. All with a live demo.Learning Objectives:
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