By the end of Week 9 you will be able to apply supervised machine learning techniques to real datasets, write production-quality Python code for each method covered, and complete all assignments independently.
Submit completed Jupyter notebooks to your GitHub repository before the next session. Include clear markdown headings, comments on every major code block, and a brief summary of your findings at the end of each notebook.