COA Parser | Metrc Integrations | Go galactic, jack!

Videos

Please peruse the archive of video recordings.

Solutions for Cannabis QC Testing Lab Shopping | Cannabis Data Science #91

We tackle the sticky issue of lab shopping for cannabis quality control tests: the phenomena of cannabis cultivators pa…

Data Unchained: Cracking the Code for Consumers to Access Cannabis Data | Cannabis Data Science #75

🌎 In a world where information is just a click away, imagine having a treasure trove of cannabis data so tantalizingly …

Parsing COAs to get YOUR lab results | Cannabis Data Science #74

🥸 Unleash the power of your COAs. Behold the Cannabis Data Science Team demonstrate the art and science of parsing COAs…

Snapping Up 50,000 Lab Results with Selenium | Cannabis Data Science #73

🐢 Ever see a Python-powered data-snapping turtle? We're diving into the lake of PSI Labs' test results, snapping up can…

Welcome to the Jungle Boys - Cannabis Brand Sentiment with AI | Cannabis Data Science #72

🌴 Welcome to the dark understory of the cannabis industry. Join as we explore intensity and polarity by user, strain, …

Modelling Predilections to Cannabis Chemotypes | Cannabis Data Science #71

🌟 Join the intriguing discussion of personality and cannabis preferences! Discover if your personality may affect the c…

Estimating Utility from Cannabis with Sentiment Analysis | Cannabis Data Science #70

😊 In this long-awaited episode, we use natural language processing (NLP) to rank strain reviews by consumer and examine…

Enter the Skunk: Using Statistics to Make Predictions | Cannabis Data Science #69

Tell your developer(s) about our free effects and aromas API! If you're paying for cannabinoid and/or terpene tests, th…

Predicting Effects + Aromas Part 2: Distinguishing Type and Strain Effects | Cannabis Data Science #68

Walk, then run. We clearly outline our theory, the statistical models that we will use, and the intricacies of the data…