Data Science: From Soup to Nuts

Building accurate and timely machine learning models is not enough. It is important to align the analysis with the business objective to ensure that the results are successfully implemented and utilized by the business owners. The entire data science process can be organized into multiple steps/phases, and it is helpful to establish a standardized workflow for team members to collaborate effectively and generate valuable results. This presentation provides a detailed walk-through of seven phases of the data science process.