👉 An instance project is a practical application of machine learning where you build, train, and deploy a model directly on a specific computing infrastructure, such as a cloud platform or a local server. This approach allows for fine-tuning the model to meet particular use cases, optimizing performance and resource usage for specific tasks. Unlike pre-trained models hosted on platforms like AWS or Google Cloud, instance projects involve managing the entire lifecycle, from data preparation and model training to deployment and monitoring, providing greater control and flexibility for developers and organizations.
