ESC Team's credit scorecard tools.
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Nov 4, 2024 - Python
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credit-risk
Here are 328 public repositories matching this topic...
Open solution to the Home Credit Default Risk challenge 🏡
python competition open-source machine-learning deep-learning pipeline neptune pipeline-framework python3 kaggle xgboost lightgbm feature-engineering reproducibility python35 credit-scoring reproducible-experiments credit-risk
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Jun 22, 2022 - Python
Credit Risk analysis by using Python and ML
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Nov 20, 2017 - Jupyter Notebook
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
java statistical-learning bond portfolio-optimization fx market-risk loans interest-rates asset-allocation treasury fixed-income transaction-cost-analytics cva-dva-fva-kva-xva asset-backed credit-risk counterparty-risk corporates municipals emerging-market inflation-linked
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Dec 16, 2024 - HTML
Curriculum for Finance
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Jan 4, 2021
scikit-learn compatible tools for building credit risk acceptance models
machine-learning scikit-learn logistic-regression scorecard credit-risk creditrisk scorecard-model scorecards
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Aug 19, 2024 - Python
Statistical analysis and visualization of state transition phenomena
python markov-chain state-space credit-scoring hacktoberfest transition-matrix credit-risk rating-migration credit-rating
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Dec 17, 2024 - Python
Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Com…
python machine-learning tutorial numpy modeling machine-learning-algorithms pandas loans tutorial-code machine-intelligence loan-default-prediction credit-risk machinelearning-python dummy-variables matpllotlib
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Mar 31, 2020 - Jupyter Notebook
The full scope of IFRS 9 Impairment models including PD, LGD and EAD are provided. It also covers ECL, which is the combination of those three parameters as well as staging criteria.
machine-learning financial-services financial-analysis risk-management risk-modelling credit-risk financial-modeling ifrs-9
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Feb 26, 2024 - Jupyter Notebook
scorecardpipeline封装了toad、scorecardpy、optbinning等评分卡建模相关组件，API风格与sklearn高度一致，支持pipeline式端到端评分卡建模、模型报告输出、导出PMML文件、超参数搜索等
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Dec 11, 2024 - Python
Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
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Nov 7, 2020 - R
A LLM training and evaluation benchmark for credit scoring
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Oct 15, 2023 - Python
A python framework for risk scoring
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Oct 14, 2024 - Python
A Python library for generating analytic tests for credit portfolio loss distributions
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Dec 17, 2024 - Python
openNPL is an open source platform for the management of non-performing loans
python django database django-application loans loan-data credit-risk non-performing credit-portfolio-management npl-data
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Dec 17, 2024 - JavaScript
Using various machine learning models to predict whether a company will go bankrupt
python machine-learning neural-network logistic-regression support-vector-machines gradient-boosting-classifier naive-bayes-classification risk-modelling credit-risk bankruptcy-prediction
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Oct 28, 2022 - Jupyter Notebook
Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)
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Feb 26, 2024 - Jupyter Notebook
learning data-science machine-learning risk machine modelling credit-scoring credit risk-modelling credit-risk
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Sep 21, 2020 - Jupyter Notebook
A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors
python machine-learning random-forest gradient-boosting-machine logistic-regression support-vector-machine predictive-analytics decision-tree naive-bayes-classification knn-classification credit-risk
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Oct 31, 2018 - Python
Loan approval prediction is a popular machine learning project, especially in the banking and finance industry. The goal of this project is to build a predictive model that can determine whether a loan application will be approved or not based on the applicant's information such as income, credit history, and loan amount.
visualization python data-science machine-learning scikit-learn exploratory-data-analysis pandas seaborn banking classification matplotlib feature-engineering predictive-modeling credit-risk loan-approval classification-internal financial-analytics ai-in-finance
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Nov 24, 2024 - Jupyter Notebook
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