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Hi,
I was trying out the "Machine Learning with Financial Data" notebook.
In the tutorial video, the prediction accuracy of the first trivial model is 65% (as is described in the notebook's text), …
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# 因果推断之Uplift Model - BulletTech
We are a team of a few data scientists working in the financial industry. Here is the place where we share practical analytics skills, working and life experience. En…
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# Abstract
Financial wellbeing involves measuring people's financial comfort in the context of their day to day expenses, future savings (e.g., retirement) and their resilience to financial shocks.
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Here are several improvements I have in my mind, feel free to raise PR and contribute.
~- [ ] 1. Make READ.md a web page, make links etc easier to track similar to https://pages.github.com/,~ this…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Credit card fraud is a significant issue that affects both consumers and financial institu…
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## Main Objectives/Goals:
To invite developers and researchers to contribute to the development and implementation of Zero-Knowledge Machine Learning (zkML) technologies for secure and privacy-preserv…
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**Is your feature request related to a problem? Please describe.**
Yes, it will provide valuable insights into applicants' financial metrics and loan approval outcomes, as well as understanding the f…
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Here are ten unsolved problems in algorithmic trading framed within a pure mathematics context:
1. **Optimal Execution Problem**: Finding a universally optimal strategy for executing large orders t…
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**Role of AI in XBRL tagging**
All the companies registered in us , india and european stock exchanges have to submit their quarterly financial statements with xbrl tagging
1. Each numerical entit…
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De Prado (https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089) introduces the Triple Barrier Method concept for labeling observations in a potential ML model for time serie…