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Final Exam Due Tuesday, Saturday. July 13th by noon3:15!
Late exams will be penalized by 20% per day! Please turn it in on time!
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- Issues: If there are technical issues on Rivanna please let Prof. Group know ASAP via Piazza AND email so that he can follow up quickly.
Individual Work: All students must work individually so no collaboration. Last year two students worked together and it was obvious. Their course grade was severely reduced. Don't cheat! It will be obvious If your solution is similar to someone else's, it will be obvious.
- Allowed Resources: Class texts, class notes, class web page, Collab page (including solutions), and web links provided directly from the class web pages. Official documentation of any modules used in class: NumPy, pandas, matplotlib, sci-kit-learn, etc. Cite sources for methods, functions, etc using resources not taught in class.
Questions: You can ask questions to Piazza but the response will be limited to conceptual assistance or clarifications. Pose all questions by Thursday June 11 at Midnight.
Help: No more office hours. Post questions to Piazza only. If you are unsure if your question gives anything away - make it private.
Narrative: Your descriptions/justifications are important for these problems. In addition to your code, you need to provide a narrative that includes your response to each question. Add your code and narration using the Jupyter Notebook included in the GitHub repository. You should provide descriptions accompanying your solutions where needed. There are many questions inline as well, answer those in the document. Additional discussions of results and issues you discovered are also allowed and encouraged.
- GitHub: Since the assignment is in Github, I strongly recommend that you make commits early and often! You don't want to lose your work or break something that was working.
Pledge your notebook.
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You may accept the assignment here and create your repository:
https://classroom.github.com/a/4_BpnEWk
Good luck! Don't panic - just do your best.