December 2018
Intermediate to advanced
274 pages
7h 46m
English
In this section, we are going to see how to use a Core ML model that we already have created in an iOS mobile application using the Fritz toolkit. We are going to take the HousePricer.mlmodel that we created using Core ML using the Boston dataset and perform house price prediction using a linear regression algorithm. We will detail the steps required to achieve this objective.
For this, please download the source code of the linear regression example in pack GitHub for house price prediction at https://github.com/PacktPublishing/Machine-Learning-for-Mobile/tree/master/housing%20price%20prediction/sample.
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