Testing data and models

All lessons in this track

1. 1
   Framing: the work before the code ~30 min
2. 2
   Reproducibility and experiment tracking ~30 min
3. 3
   Serving a model: from pickle to API ~30 min
4. 4
   Monitoring: models decay ~30 min account needed
5. 5
   Testing data and models ~30 min account needed
6. 6
   Data too big for pandas ~30 min account needed
7. 7
   Time series done properly ~30 min account needed
8. 8
   Deep learning: when and how ~35 min account needed
9. 9
   Fairness, privacy and the duty of care ~30 min account needed
10. 10
    Portfolio, interviews and staying current ~30 min account needed