Weekly Challenges
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A solution to last week's challenge can be found here!
It’s time to complete the data-driven cocktail recipe that we started last week! (If you missed Part 1, take a look back at last week’s challenge so you can finish up with a full recipe for a tasty beverage.) We’re again toasting the new Top Shelf Data Science podcast; have you checked out the first episode yet?
This week, you’ll want to continue completing the Data-Driven Cocktail recipe in the PDF below, building on your work from last week.
This week, we’ll get those last few ingredients and instructions for our mystery cocktail! To do so, you’ll again use a mix of tools, including some data investigation and
predictive tools. If you’re “breaking the ice” (cocktail pun!) on those tools, here are a few resources that might help:
- Forest Model: an introduction, Tool Mastery, and the help documentation
- Contingency Table: Tool Mastery, help documentation
As before, we’re just checking out these tools, not trying to build The Ultimate Cocktail Prediction Model! You can leave the tools’ settings on their default options, unless otherwise directed, and use your results in the recipe.
And a reminder: You’ll need to install the R predictive tools for this challenge, if you don’t already have them.
These 2 were a lot of fun - great exposure to some new tools for me, and review for others. I admit I had to look at answers to figure out a couple -- was confused about 2nd ingredient (thought it meant 2nd association at first) and glasses (see spoiler)
had to change case on glasses to count accurately
