If you share your code with a project partner, but you do not share the data you referenced, there is not much they can do. In this video, learn the best practices for collaborating with others and sharing all the data that you are working with.
- [Instructor] If you share your code … with a project partner, … but you do not share the data you referenced, … there is not much they can do. … In order for someone else to understand your work … and collaborate with you, it is essential that you share … all the data that you're working with. … To illustrate what happens when you do not share data … referenced in code, I'll be walking you through an example. … Let's say that I wrote code in a Jupyter notebook … in which I work with a dataset containing grades … for students across five exams … and I shared that code with a teammate, … but I do not share the dataset I used. … When they run the cell that is supposed to read … the dataset, they will get FileNotFoundError like this. … And when they run all the cells below that refer … to that dataset, those will also produce errors. … And it'll be hard for the teammate … to make sense of the work in this notebook. … However, if I had shared the dataset involved, … which in this case is grade.csv, …
Skill Level Intermediate
1. Avoid Mistakes in Coding Practices
2. Avoid Mistakes in Structuring Code
3. Avoid Mistakes in Handling Data
4. Avoid Mistakes in Machine Learning
Using redundant features1m 45s
Get started with Python1m 7s
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