This is the official code repository of the book: Embedded Machine Learning with Microcontrollers: Applications on Arduino Development Boards

The Arduino codes for the end of chapter applications are due in December.

Before you start

Before getting started, it is highly recommended to create a Python virtual environment and install required libraries. To do so, run the following command in your terminal: python -m venv .venv

On Windows:

.\.venv\Scripts\activate

On macOS/Linux:

source .venv/bin/activate

Running Python Scripts

You can Python scripts by calling the corresponding file as Python module using the following command. python -m <Chapter#>.PythonScripts.<module_name> or python -m <Chapter#>.<Application>.main to run main application codes related to that End of Chapter applications.

For example, one can use the following commands to run Chapter5 scripts. python -m Chapter05.PythonScripts.clf_data_generation to generate classification data or python -m Chapter05.Application1-HAR.main to generate Human Activity Recognition features.

Running Embedded Project Files

Furthermore, one can directly import projects to Arduino IDE using the End of Chapter folders under each chapter.

You can find more detailed information regarding files and their capabilities in the chapter folders.