🎨 What is your favorite strain? This is the only question you need to begin finding the right product for the right person. Thanks to the work of Dr. John Abrams, we can merge science with folklore and you can use a simple 3-step algorithm to demystify the differences in cannabis strains, allowing you to hone in on the right choice for your palate.A glimpse into the algorithm:1. Calculate average product concentrations by consumer;2. Find k-nearest products given the average concentrations;3. Repeat when the consumer makes a purchase.The algorithm embodies the age-old wisdom: start somewhere, then iterate. Given a consumer's purchase history, you can easily predict the products with the most similar chemical profiles. As the consumer hones in on their preferred profile, your recommendations will become more and more useful. If a consumer becomes happier and happier with their purchases, then surely this is a good thing.🤝 Join the fun, data wrangling, and analytics in the Cannabis Data Science meetup, every Wednesday at 8:30am PST | 10:30am CDT | 11:30am EST. https://www.meetup.com/cannabis-data-science/🧑‍💻 Find the data and source code: https://github.com/cannlytics/cannabis-data-science💸 Support the group: https://opencollective.com/cannlytics-company🔥 Check out Cannlytics: https://cannlytics.com