Alex Chen:
- learn new language, perhaps implement some Javascript/React on the front end
- path towards own learning after course
- agile
- build something cool!
Amy Jordan:
- a new language
- everyone to own the code
- agile big style
James Palmer:
- Use a new language
- learn structure of ML
- agile workflow
Kim Diep:
- Apply Agile to group setting;
- Do something interactive
- Learn the concepts of ML
Our personal goals were closely aligned, allowing us to focus on some common themes.
Agile: It was important to us all to work in an agile manner, with Kim wanting an extra focus to share her previous experience.
Machine Learning: Since we had all voted to be in the AI group, we decided to go forward with a project idea that would incorporate machine learning.
New Language: We all wanted to learn and apply a new language, due to curiosity and feeling comfortable with languages learned previously. This ambition combined with machine learning naturally lead us to using Python.
- Stand up: 9:30am
- Retro: 5:30pm
- Pairing: rotate daily
- Mobbing: group up to defeat blockers, discuss new ideas etc
- Pull Requests: all PRs to be reviewed by the other pair before merge
- Make time for individual learning: 1 hour every few days
- Github Wiki
Our program should be able to return the correct shape name when given test data. We aim for an accuracy rate of at least (70?)%.