lifecycle

Data science project lifecycle refers to the structured process of carrying out a data science project from start to finish. It typically involves steps such as problem definition, data collection, exploration and analysis, model development, and deployment. This lifecycle provides a framework for organizing and managing data science projects, ensuring their efficiency and effectiveness.