Webclass 131: Using python and AI to see non-tax compliant purchase orders

Q1. Which SAP data field determines the rate of tax that will be applied?

Q2. Which types of data in SAP help in determining the tax code?

Q3. How do we add new rules in SAP for tax?

Q4. The BSET table determines the tax code and rate or shows us the determined tax code and rate

Q5. How can we know which lines in the general ledger are for tax?

Q6. What is the condition class for tax?

Q7. Where can we find the description of the tax codes

Q8. Where can we find the material type, category, group and tax classification?

Q9. What is the difference between Jupyter Lab and Jupyter notebook?

Q10. Which set of python libraries can we install in order to be able to use decision tree?

Q11. Before running decision tree, do we need to convert all fields from string to a numeric equivalent?

Q12. When we train the model and then test the model, typically what percentage do we use for testing and training?

Q13. Do we put one data set into the model for training or multiple tables?

Q14. Training a decision tree of around 1 million lines on a desktop will take…

Q15. Which type of object did we use in order to convert our fields from object type (String) to numeric?

Q16. What does axis=1 signify?

Q17. What can we do with our classifier model once we have created it and tested it for accuracy?

Q18. What two methods might be necessary in order to avoid false positives generated by the model?

Q19. When using a shanky diagram, is it a good idea to have one data element per level in the shanky diagram or concatenate all data elements into one and have a concatenated data element on the left with the tax code on the right?