This course builds on the KNIME Analytics Platform for Data Scientist: Basics by introducing advanced data science concepts.
Learn all about flow variables, different workflow controls such as loops, switches, and error handling. Find out how to automatically find the best parameter settings for your machine learning model, see how Date&Time integrations work, and get a taste for ensemble models, parameter optimization, and cross validation.
This course consists of four, one-hour online sessions run by one of our KNIME data scientists. Each session has an exercise for you to complete at home and together, we will go through the solution at the start of the following session. The course concludes with a 15-minute wrap-up session.
- Session1: Flow variables
- Session 2: Workflow control - loops, switch, and try catch
- Session 3: Date&Time and integrations
- Session 4: Advanced machine learning - ensemble models, parameter optimization, and cross validation
If you are interested in signing up: