This section contains several example notebooks to demonstrate how you can use Objectiv to quickly build & run product analytics models and make the output actionable for the wider team.
The notebooks all use the open model hub: a toolkit that contains pre-built product analytics models and functions that can be applied on data collected with Objectiv’s Tracker. The open model hub is powered by Bach, our Python-based modeling library with a pandas-like interface, that translates all operations to SQL under the hood.
Check out the example notebooks
- Product analytics
- Marketing analytics
- Funnel Discovery
- Logistic Regression
- Modeling feature importance
- Basic user intent analysis
- Explore your data
- Open taxonomy how-to
- Open model hub basics
- Feature engineering with Bach
- Bach and sklearn
If you want to play around with the notebooks yourself, get Objectiv Up - a pre-packaged, dockerized version of Objectiv that you can run locally or host yourself in under 5 minutes. It comes with everything you need to test-drive Objectiv, and can be used in production by simply replacing the demo app with your own app.