applications

Building machine learning powered applications going from idea to project involves several key steps. These include identifying a problem or opportunity, gathering and preparing data, choosing and training a machine learning model, and deploying and monitoring the model. By following these steps, you can build machine learning powered applications that can solve real-world problems and improve decision-making.