Tasks

[x] Define roles: square, triangle, circle, and X
[x] Decide on a topic for the project—think of a question that can be answered using data.
[x] Create a repository and establish individual branches for each team member.
[x] Source a dataset that will suit your needs (you can even use multiple datasets if applicable).
[x] Begin to clean, organize, and perform exploratory data analysis on your datasets so that they're ready for analysis.
[x] Create a mockup of a machine learning model.
[x] Create a mockup of a database.
[x] Decide which technologies will be used.

Rubric

Team members have drafted their project, including the following:

[x] Selected topic
- UFC Fighting
[x] Reason they selected the topic
- Interest in UFC fighting and the ability to produce outcomes from the data.
[x] Description of the source of data
- https://www.kaggle.com/calmdownkarm/ufcdataset?select=data.csv
- Data was downloaded from Kaggle
[x] Questions they hope to answer with the data
- Can the model predict the winner (target) based on the features?
- Can the model predict the winby based on features?
[x] Tools
- Python
- https://www.metabase.com/
  - Potential tool for visualizations

Note: The content does not yet need to be in the form of a presentation; text in the README.md works as well.