For this project you will work with the same team of four that you formed for the first project (DM instructors on Slack if you would like to switch teams announce teams in slack). All team members should fully understand everything you submit. If there are parts you understand quickly but are new to your partners, it is your responsibility to explain them to your partners until everyone understands. If there are parts that your partners understand quickly but that are new to you, it is your responsibility to insist that your partners explain things to you until you understand them well.
To do Project 2, we continue using Jupyter. Project 2 Notebook is available at: project2.ipynb.
Then run,
jupyter notebook project2.ipynb
to get started. This will start the jupyter local server and open the notebook in your web browser.
The notebook contains the questions and starting code for Project 2. You will do your assignment by editing this file, and will submit your completed jupyter notebook as your assignment.
Using the prediction algorithm developed by your team write Python script that uses the model for prediction. Your script will be entered in team competition in which we run each team’s script on (secret) challenge data. The team with the smallest prediction error in their algorithm will win the challenge. You create the sript by copying the algorithm that you created in your Notebook to the template script available at predictor.py. You will do your assignment by editing this file, and will submit your completed script.
@Dave @Denis Nekipelov @Cam @Kyeongtak Do. Submit your
project to that group chat by attaching your jupyter notebook and Python script to a
message (use the “+” at the left of the message entry field to attach
a file).
You should include a comment at the top of the notebook that contains:
- The names and UVA email ids of the people submitting (you and your teammates)
- A note on anyone else you collaborated with and how, and external resources you used.