Prompt strategy for data science
Let’s do a similar thought experiment for data science as we did for web development. We’ll use the presented guidelines “problem breakdown” and “generate prompts,” and just like in the web development section, we’ll draw some general conclusions on the domain and present those as a prompt strategy for data science.
Problem breakdown: predict sales
Let’s say we’re building a machine-learning model to predict sales. At a high level, we understand what the system should do. To solve the problem though, we need to divide it into smaller parts, which in data science usually entails the following components:
- Data: The data is the part of the system that stores information. The data can come from many places like databases, web endpoints, static files, and more.
- Model: The model is responsible for learning from the data and producing a prediction that’s as accurate...
