Delivery of the case solutions:

1. Before the 14:30 deadline you should deliver the solutions here…
2. The solution should consist of at least the following:
   • Code / workflow files which could be run on some of the required software for the summer school
   • In the code or in additional files there should be complete explanations, visualisations and data anaysis results to solve the case
   • List of authors
3. There could be more than one solution per team.
4. Each team will be given about 15-20 minutes to present their solutions followed by Q&A session.

The cases for this year’s Summer school are:

1. Cryptocurrencies Predictions & AI Trader - predict the status of the loans in the testing set, based on the training set.
   https://www.kaggle.com/bizzyvinci/coinmarketcap-historical-data

Team solutions here…, video

1. Prediction of financial distress - separate the data into random subsets for training (70%) and testing (30%)
   https://www.kaggle.com/shebrahimi/financial-distress

Team solutions here…, video

1. Predict house prices - active Kaggle compettition
   https://www.kaggle.com/c/house-prices-advanced-regression-techniques/overview

Team solutions here…, video

1. Propose optimal public policy for dealing with COVID-19 epidemic - Task 2 of the online data Covid 19 challenge, using Public policy data and daily cases data.
   https://www.datasciencesociety.net/dss-covid-19-online-challenge/

Team solutions here…, video