Nowcasting financial crisis with deep learning techniques @ PyConIT 2022
Predict, or project, a financial crisis is important in all the sector: finance, banks, insurance and manufacturing companies take benefits if they can anticipate a crisis situation. In this tutorial I'll show you how to use python to set up model and analytics to make projections about the next financial situation. I will also try to explain the technical and ethical aspects that we have to consider when we approach these kinds of challenges.
About
This repo contains slides and code for Mauro Pelucchi's "Nowcasting financial crisis with deep learning techniques" @ PyConIT 2022
MIT License
Copyright (c) 2021 Mauro Pelucchi
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.