Data science ideation
Often, coming up with a new idea for a data science project is the most daunting part. You might have numerous doubts. What if I start a project that no one likes? What if my data actually doesn’t work out well? What if I can’t think of anything? The good news is that if you create projects that you actually do care about and would use, then the worst-case scenario is that you have an audience of one! And if you send me ([email protected]) your project, I promise to read it. So that makes it an audience of two at the very least.
Some examples I have either created or observed in the wild include the following:
- Recording ping-pong games for a semester to determine the best player with an Elo model (http://www.tylerjrichards.com/Ping_pong.html or https://www.youtube.com/watch?v=uPg7PEdx7WA)
- Using Large Language Models to chat with your organization’s Snowflake data (https://snowchat.streamlit.app/)
- Analyzing...
