Some old code.
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Apr 8, 2019 - Jupyter Notebook
#
german-credit-dataset
Here are 8 public repositories matching this topic...
A Consideration Point of Fraud Detection in Bank Loans - Project Aug 2018
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Feb 18, 2019 - Jupyter Notebook
Boosting is one of the methods contained in Ensemble Learning. This technique makes it possible to combine several models into one more robust model.
machine-learning
ensemble-learning
robust-optimization
boosting-algorithms
boosting
german-credit-dataset
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May 28, 2023 - Jupyter Notebook
Cost Sensitive Learning in German Credit Data
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Jun 12, 2023 - Jupyter Notebook
Explore how bias can be detected and mitigated in real-world datasets
logistic-regression
allstate
bias-detection
fairness-ml
german-credit-dataset
bias-mitigation
accuracy-fairness-tradeoff
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May 1, 2021 - Jupyter Notebook
Gini calculation on "German Credit Dataset" by Kaggle using R.
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Feb 16, 2021 - R
In this repository, we will explore linear models and compare different methods of learning linear classifiers and regression functions.
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Jun 26, 2020 - Python
This repository provides some group fairness metrics to Machine Learning classifier of German Credit Scoring Dataset. It computes demographic parity, equal opportunity and equalized odd for the sensitive variable gender.
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Jul 22, 2020 - R
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