This chapter was a sketch of building pipelines for ML systems—it is just the tip of the iceberg. Building pipelines is very complicated. However, once developed, it makes the life of a developer more comfortable. It reduces the complexity of formulating different models and thus becomes an essential concept, which is required to create an AutoML system. The concepts that we described in this chapter give you a foundation for creating pipelines. You must have understood when you built the pipelines in this chapter how well-structured the model building process became with the use of pipelines.
The next chapter will summarize our learning so far. It will also provide you with several suggestions that would be useful in devising an AutoML system and executing data science projects successfully.
