Cannabis Data Science cover art

Cannabis Data Science

By: Cannlytics
  • Summary

  • You can join a group of like-minded individuals who are interested in learning about how to apply data science to cannabis data. Utilize the web and APIs to get the data that you need. Wrangle the data like a pro into a format suitable for analysis. Then calculate statistics to your heart's galore. Furthermore, learn how to build forecasting and prediction models to get an upper-hand on your competition. At the Cannabis Data Science meetup, you can join like-minded individuals, learn modern data science techniques, and go through hands-on exercises with real cannabis data. This is a great opportunity for anyone in a cannabis-testing lab, anyone working at a cannabis cultivation or processing plant, any cannabis retailer, and even any cannabis researcher or consumer seeking knowledge. Please join us for a coffee, I like tea, for a fun time crunching cannabis numbers. We follow the value for value principle, so if you find value then you may consider donating so the Cannlytics team can continue to provide you with value.
    2021-2022 Cannlytics
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Episodes
  • A look at positive & negative effects reported by cannabis users | Cannabis Data Science #158
    May 10 2024

    You have probably pondered the curiously predictable effects that cannabis clearly has on people. Is the science settled on what compounds contribute to what effects? Join the Cannabis Data Science Meetup and let's put these sought-after effects to the test. Thanks to a contribution by a meetup MVP, we were able to run another 8,000+ OpenAI prompts, extracting thousands of new data points, ripe for discoveries! 🤝 Join the fun, data wrangling, and analytics in the Cannabis Data Science meetup, every Wednesday at 3:30pm PST | 6:30pm 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

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    1 hr and 15 mins
  • Aroma Heresy - Testing Odor Thresholds in Cannabis | Cannabis Data Science #157
    May 6 2024

    👃 Want to test sacred assumption about aromas of terpenes commonly found in cannabis? We take it a sniff further and examine user sentiment of aromas, i.e. what aromas do people love. And then we can test if any of the chemicals found in the product may be contributing to the aroma. We have a growing dataset of actual cannabis users, with matching lab results for their products, and rich text data from which we are avidly extracting data with AI! Join us and join in the bounty of 3,500 OpenAI API calls, 9,000+ lab results, and 1,750+ posts about cannabis by medical cannabis users. Plus, we can talk about descheduling hearsay too! Bring your best thoughts, comments, questions, ideas, data, statistics, research, or anything at all and let's make it a meetup for the history books! See you soon! 🤝 Join the fun, data wrangling, and analytics in the Cannabis Data Science meetup, every Thursday at 3:30pm PST | 6:30pm 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

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    1 hr and 18 mins
  • Commercial Cannabis Cultivation with Drew Greco | Cannabis Data Science 152
    Mar 29 2024

    Want to know how to make 💰💰💰 from ☀️🪴🪴🪴? Learn from Drew Greco, director of cultivation at Solaris Farms, one of the largest cannabis cultivations in the world! Bring your best cannabis cultivation questions and let's make this one for the history books!

    🤝 Join the fun, data wrangling, and analytics in the Cannabis Data Science meetup: 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

    Show More Show Less
    1 hr and 15 mins

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