About this document
Data Science Workflow Overview by cumar aadan apdi is a document available to read on EtoBox.
The document outlines the key steps in a typical data science workflow: problem definition, data collection, data cleaning, exploration, feature engineering, model development, evaluation, deployment, communication, documentation, feedback/iteration, and ongoing maintenance. It emphasizes the importance of clearly defining the problem, gathering relevant data from various sources, preprocessing the data for analysis, gaining insights from exploration, and iterating on the models based on feedback.
- Author
- cumar aadan apdi
- Language
- EN