What are the best practices for data science projects?

What are the best practices for data science projects?

Some best practices include defining clear objectives, understanding your data, and iterating on your models.

Can you elaborate on the importance of defining clear objectives?

Defining clear objectives helps to align the project with business goals and ensures that the analysis is focused.

What should I consider when understanding my data?

You should consider data quality, data sources, and the context in which the data was collected.

How often should I iterate on my models?

You should iterate on your models regularly, especially as new data becomes available or when performance drops.