I like your way of presenting data with both graphs, tables and regression.
I also enjoyed that you have your formulas writting in the notebook in the google search part.
The hardest part of the project to understand was:
The hardest part was to get a clear understanding of how your notebook and code interact with your external packages.
Also having your notebook named "testaflevering" is not intuitive for the reader. I wasn't sure if this was the end product or not.
An idea for an improvement/clarification could be:
Sort/clean your import. You have a dublicate in there and you should probably make alias for all of them.
Your notebook is messy. There are no sections/subsections for the reader to navigate through
There is not a guide on how to install your required packages.
Some legends on your graphs are messy
An idea for an extension could be:
First of all you should make your code more user friendly - maybe make a comment section in the beginning that tells you to install packages with anaconda promt.
As said in the improvement/clarification part, you should try to section your code with well documented strings in your notebook as well.
Due to the complicity of how your code works with packages you should extend your readme-file with more info.
The best part of the project was:
The hardest part of the project to understand was:
An idea for an improvement/clarification could be:
An idea for an extension could be: