Machine learning projects can range from small datasets and standard algorithms, to much larger projects that use neural networks engines with massive datasets. So how does one get started? What you need is a data pipeline that brings in all your components working together. A data pipeline is a set of actions that extracts data, then helps build predictions and finally output. The following is an illustrated diagram of the two types of machine learning data pipelines, featuring the best tools to use for each step of the process.