Solving the problem using regression in Core ML
This section will go through the details of creating a regression model and then using the regression model in an iOS mobile application. It will provide a detailed walk-through of the various steps involved in creating an iOS regression ML application to address the problem defined.
Technical requirements
The following software needs to be installed on the developer machine:
- Python
- Xcode in a Mac environment
The exercise programs for this chapter can be downloaded from our GitHub repository at https://github.com/PacktPublishing/Machine-Learning-for-Mobile/tree/master/housing%20price%20prediction.
In the following program, we are going to use pandas
, numpy
, and scikit-learn
to create the model. So, install these packages from the pip
package manager using the following command from the Command Prompt/Terminal:
pip install scikit-learn pip install numpy pip install pandas
In order to convert the created model to the Core ML format, we need to use the...