Project 1: Housing Price Prediction

Project 1 is due Tuesday, 21 January, 9:29am.

Communicate with your classmates to form teams of four. Each team should have at least one CS major and at least one Econ major. Your team should work together on this assignment. All team members should fully understand everything you submit. If there are parts you understand quickly but are new to your partner, it is your responsibility to explain them to your partner until everyone understands. If there are parts that your partner understands quickly but that are new to you, it is your responsibility to insist that your partner explains things to you until you understand them well.

To do Project 1, you will need to install Jupyter. Follow the directions at https://jupyter.org/install.html. (As in the directions there, we recommend using Anaconda, which will also install Python and many useful Python packages. The instructions in the project notebook assume you have installed Anaconda.

Once you’ve installed Jupyter, download the Project 1 Notebook: project1.ipynb

Then download the data contained in zillow-prize-1.zip.

Then run:

jupyter notebook project1.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

  1. You will do your assignment by editing this file, and will submit your completed jupyter notebook as your assignment.

Submit your Project 1 notebook by Tuesday, 21 January, 9:29am by creating a slack group (click “Direct Messages”) containing you and your teammate and the four course staff: @Cam @Dave @Denis Nekipelov @Kyeongtak. Submit your project to that group chat by attaching your jupyter notebook 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:

  1. The names and UVA email ids of the people submitting (you and your teammate)
  2. A note on anyone else you collaborated with and how, and external resources you used.