Data science workflows require a series of tasks to be implemented in a step by step manner. Data Science pipeliens are an effective way to create manageable, scalable, and roust data science products.
Recently I gave a talk along with my teammate in the meetup - pydata delhi about building data science pipelines in python using luigi. The slides are embedded as follows:
