In order to improve the ability of credit risk control, AHP- Entropy method is adopted to establish the credit risk assessment digital analysis system based on Python computer program. The system has 3 levels and evaluates 18 credit risk indicators. Combined with the characteristics of the ...
Home Credit Default Risk(1) — 背景介绍 查看原文 介绍universal usb installer 及liunx的一般分区方式 universal usb installer 软件介绍Universal Usb Installer(通用USB安装程序,免安装)是一个自启动Linux U盘创建工具,您可从大量精选的Linux 发行版中挑选一个安装到您的U盘上。Universal Sub Installer 使用非常的...
creditRiskCScoreCard是一个Python版本3.6的库,用于计算信用风险评分卡。它提供了一种简单、易用的方法来计算信用风险评分卡。 该库的主要功能包括: 1. 读取CSV文件中的数据,并将其转换为一个字典列表。 2. 计算每个借款人的信用风险评分。 3. 根据给定的风险参数(如违约率、贷款期限等),计算每个借款人的信用...
An investigation of different credit risk models and methods based on the Lending Club dataset with over 1.3 millions loans. Inspiration taken from the course:https://udemy.com/course/credit-risk-modeling-in-python Setup Download the dataset from:https://www.kaggle.com/wordsforthewise/lending-clu...
defcalculate_risk_adjusted_price(bond):risk_adjusted_price=bond.price*(1-bond.default_probability)returnrisk_adjusted_price# 将债券对象存储在一个列表中bonds=[CreditMetrics(row['Bond Name'],row['Price'],row['Default Probability'])forindex,rowinbonds_df.iterrows()]# 计算每个债券的风险调整价格ris...
学习python一段时间了,但纸上得来终觉浅,需要做项目检验一下学习成果。因此,借助Kaggle平台的 Home Credit Default Risk 项目,来检验Python学习的成果,熟悉机器学习流程。选取这个项目的原因是因为数据表格多且复杂,十分贴近实际业务场景,实践中能更深入理解数据特征含义,更具挑战性。
推荐导读:本文来源于知识星球中一位星友的投稿,主要分享前不久刚结束的一个Kaggle竞赛 “Home Credit Default Risk” 房屋借贷的违约预测分析。 本文适用于那些刚刚接触机器学习以及对数据挖掘竞赛感兴趣的小伙伴,通过阅读后能够掌握数据挖掘的整个流程,同时对房屋信贷违约风险这个项目能有较为深刻的认识。
This project uses a Decision Tree classifier to predict credit risk based on a variety of financial and personal attributes. Developed as part of Software Lab 2 in CIS 412 – Business Machine Learning. 📊 Tools & Technologies Python Pandas Scikit-learn Jupyter Notebook 🚀 Project Highlights Lo...
Credit Risk Resampling Techniques Step 1: Read the CSV and Perform Basic Data Cleaning Figure 1. Dataframe 'df' created by reading LoanStats_2019Q1.csv Figure 2. Create 'features' dataframe X, and 'target' Series/array y Figure 3. The X_enc dataframe after encoding with pandas.get_dummies...
German Credit Risk(德国信用风险) 描述 Credit classification。 信用分类。 数据列表 数据名称上传日期大小下载 german_credit_data.csv2021-01-1848.52KB 文档 German Credit Risk 1. Overview The original dataset contains 1000 entries with 20 categorial/symbolic attributes prepared by Prof. Hofmann. In this...