Before beginning, make sure your environment is properly set up. This was documented in Hands-On 0: https://github.com/ucsc-cse-40/HO0
In this assignment, we will introduce you to scikit-learn.
The objective of this assignment is for you to learn about:
- The basic functionality and terminology of sklearn.
- How to visualize and interpret decision boundaries.
- How to use simple and effective machine learning models.
Submit your assignment by running python3 -m autograder.cli.submission.submit assignment.ipynb
from your local repository directory.
This script will check for your cruzid, password, and assignment id in config.json
and submit your work to a server controlled by the TAs where tests will be run, reporting the results back to you.