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### **Data Cleaning and Exploration:**
**Dropping Rows (23, 24, 26, 27):** It would be helpful to understand the rationale behind dropping these specific rows before Exploratory Data Analysis (EDA)…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Credit Risk Prediction using Neural Networks** :
:red_circle: **To be able to correctly predict the credit risk of an in…
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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Comprehensive Loan Information for Credit Risk Analysis
:red_circle: **Aim** : The aim of this project is to analyze th…
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Find suitable models and libraries in python to be used for Credit risk models
## Tasks
- [ ] 4-5 recent Credit Risk model papers
- [ ] Some libraries like [Optbinning](http://gnpalencia.org/optbinn…
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**Submitting authors:** Shahrukh Islam Prithibi, Sophie Yang, Yovindu Don, Jade Bouchard
**Repository:** https://github.com/DSCI-310-2024/DSCI310_Group-12_Credit-Risk-Classification/releases/tag/v…
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We've had a few models of giving trainees access to AWS, but they basically come down to: The trainee makes their own account, puts in their own credit card, accidentally runs up a large bill, and can…
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Hi all,
I would like to puplish this article on R blog TensorFlow,
the link of my Github:
https://dsaada.github.io/CreditRiskTensorFlow/
Thanks,
david.saada@hotmail.fr
David
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# Todo
https://github.com/OCA/maintainer-tools/wiki/Migration-to-version-17.0
# Modules to migrate
- [ ] account_credit_control - By @astirpe - #369
- [ ] account_credit_control_dunning_fees
- [x] …
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1. Same comment around notes in your notebook remains, please address that. Seek inspiration from the notebooks I and Cyril have shared.
2. In your multivariate analysis, you need to include the dep…