### Purpose - Create a model for Artium based on what parameters they're looking for. ### Principles - Reliability - Artium is a tricky customer so we need to make sure that things don't go wrong and nothing suspect is shown or heard by them. ### Outcome Visioning Artium has a decently sized number of users but not that much clarity on what they are looking for. In the given timeline we create models for them to move the needle on their metrics and keep them coming back. The predictions in the model help their customer success team in particular and increases their conversion percentages. ### Brainstorming - What do I already know about this project? - I know the code that needs to run and how to clean and structure Mixpanel data. - I have a few ideas and techniques to run some models. Need to figure out if it works well for them. - What don’t I know that I need to find out? - I don't know what exact models they're looking for. More information can be got only after speaking to them. - Who can I talk to who might provide insights? - Marketing team for Artium. ### Actions - [x] Get metadata for mixpanel events for Artium 📅 2023-08-15 ✅ 2023-08-16 - [x] Generate the training data set for Artium ✅ 2023-08-23 - [x] Run iterations of model while adding, subtracting and cleaning features as needed Artium 📅 2023-08-23 ✅ 2023-08-24 - [x] Write a script to generate testing data set Artium 📅 2023-08-28 ✅ 2023-08-29 - [x] Test the models using a testing data set Artium 📅 2023-08-28 ✅ 2023-08-29 - [x] Publish results on Artium dashboard 📅 2023-08-28 ✅ 2023-08-29 - [x] Actual predictions for Artium 📅 2023-08-30 ✅ 2023-08-31