SKAI

This is the repository for the Sk[AI] is the Limit hackaton of the team #ITCrowd

Password for Data

L3tsG0AndTakeOff!

Challenges

Performance is measured by the F1 Score

Challenge 1: Predict Labels IT Service & Manuals

1. Which service is the incident about? (e.g. “S_BA_Account” or “S_BA_Mailbox”)
2. Which manuals of the provided how-to manual list would fit? Try to find max. 4 matches per incoming E-Mail.

Challenge 2: Service-Merging Strategy

Find a solution for the evaluation of the best possible services to merge with each other into a single service.

Try to come up with ready-to-use code that benchmarks different combinations of 2 or more services and show the resulting differences. Try to run automatic tests of one or more merges in parallel.

You can use any programming language.

Challenge 3 [BONUS]: Clustering to find new Manuals

If you completed the first parts of the PoC you may try to solve the following question:

Which manuals are missing on the list? Try to perform a clustering of the E-Mails, so that new manual categories can be identified and the Helpdesk team can create such how-to manuals.

Delivery

Task 1

• ML Models in GitHub Repo (this/subfolder) as a link in the DevPost submission
• One Page PDF or Readme File describing your chosen strategy and technologies for this task in a zip file in the DevPost submission
• .csv file containing the predictions for the sample data in Kaggle for Services and Manuals

Task 2

• Functioning code in GitHub Repo (this/subfolder) as a link in the DevPost submission
• One Page PDF or Readme File describing your chosen strategy and technologies for this task in a zip file in the DevPost submission

Task 3 [BONUS]

• ML Models in GitHub Repo (this/subfolder) as a link in the DevPost submission
• One Page PDF or Readme File describing your chosen strategy and technologies for this task in a zip file in the DevPost submission
• A list of identified how-to-manuals in a zip fle for the DevPost

Built With

• jupyter-notebook
• python