Request for Access to libraray Script Used in the Lab

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification
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  • Week 1,
  • Description
    I hope this message finds you well. I am currently attending the course Supervised Machine Learning: Regression and Classification on Coursera, and I have been working on the optional lab: cost function provided. I noticed that the lab imports functions from a customized Python script ([eg plt_intuition, plt_stationary, plt_update_onclick, soup_bowl] and ./deeplearning.mplstyle), and I am interested in understanding how these functions are implemented to produce the given outputs.

Would it be possible to share the code or provide insights into how the script is written? I believe reviewing the implementation would greatly enhance my learning experience and understanding of the concepts covered in the course.

Thank you for your time and support. I look forward to your response.

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You can find these items in the File → Open menu. They are imported by the 1st cell in the notebook, if you want to see the python file names you are looking for.