-
DSCI 100: Introduction to Data Science¶
DSCI 100: Introduction to Data Science¶
Today: Project kickoff¶
- Overview and requirements
- Get a brief understanding of classification and regression (more in the next lecture!) @@ -7529,6 +7529,9 @@
- Final Project Report
- Play Time
- in exchange for this data, you'll be asked to contribute back to the study by playing at least 3 hours (total) over the semester. +
- Note: The server has limited capacity (I think roughly 50 concurrent slots). So if you try to play but receive an error, it's because the cap has been reached. Try again later, you have the whole semester. +
- If you enjoy your time, keep playing beyond 3 hours! It's free. +
- The group in CS will monitor usage and increase capacity over time if the cap keeps getting hit.
Deliverables¶
Deliverables¶
+
+One Important Note¶
This is new, untested real data. So the final conclusion of your project might be "we couldn't get anything out of this data."
+That's totally fine and is just as valuable as a report that says "wow look at all the cool things we learned!".
+Just make sure you:
+-
+
- Critically analyze what happened: why things worked, or why they didn't +
- Come up with suggestions for next steps ("collect this other data to actually see a useful signal!" or "this data has a lot of info left over, maybe try a fancier model like X!") +
