IshanSingh611 / Lending-Club-Case-Study
You work for a consumer finance company which specializes in lending various types of loans to urban customers. When the company receives a loan application, the company has to make a decision for loan approval based on the applicant’s profile
☆13Updated 3 years ago
Alternatives and similar repositories for Lending-Club-Case-Study:
Users that are interested in Lending-Club-Case-Study are comparing it to the libraries listed below
- A re-creation of SAS varclus procedure in Python☆23Updated 6 years ago
- credit risk score card develop by python(version 3.6)☆41Updated 7 years ago
- Building an PD, LGD and EAD Model for Financial Modeling.☆13Updated last year
- [Project repo] Improving business with a credit risk model☆19Updated 4 years ago
- This is the behavior scorecard, which includes three modules, including data processing, establishment of score card and effect evaluatio…☆19Updated 5 years ago
- 智能风控 python金融风险管理与评分卡建模 数据和代码☆21Updated 3 years ago
- 评分卡建模自动化流程☆18Updated 4 years ago
- A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journ…☆21Updated 2 years ago
- 风控建模评分报告☆11Updated 4 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆29Updated 4 years ago
- 基于风控模型的银行客户信用风险评估☆15Updated 2 years ago
- 根据GBDT衍生变量，并对衍生后的变量进行应用☆21Updated 4 years ago
- Applying machine learning to predict loan charge-offs on LendingClub.com☆42Updated 6 years ago
- 申请评分卡学习项目☆19Updated 3 years ago
- Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.☆22Updated 5 years ago
- 交易欺诈作为信用卡行业面临的主要贷后风险业务问题，每年都使信用卡行业遭受巨额损失。基于大数据机器学习开发出高效的交易欺诈识别模型一直是金融行业的主要挑战之一。本次大赛以此作为主题☆41Updated 5 years ago
- 根据以往的电话外呼数据以及用户数据信息，提取有价值信息，完成数据分析报告,构建预测模型,提交部署,应用于现有存量用户,下采样,逻辑回归模型召回率87%。☆10Updated 7 years ago
- This project shows how to perform customers segmentation using Machine Learning algorithms. Three techniques will be presented and compar…☆9Updated 4 years ago
- Stock market prediction model ANN, SVM, SVR☆16Updated 6 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆21Updated 7 years ago
- 机器学习的特征工程，包括特征 抽取、特征预处理、特征选择、特征降维。☆25Updated 5 years ago
- Exploratory Data Analysis, Dealing with Missing Values, Data Munging, Ensembled Regression Model using Stacked Regressor, XGBoost and mic…☆22Updated 7 years ago
- Ensemble of ARIMA, prophet and LSTMS RNN☆35Updated 7 years ago
- Stock Price Prediction of any Organizations using SVR☆18Updated 5 years ago
- 整理所有特征工程用到的方法，为了复用☆10Updated 4 years ago
- This repository is about Market Basket Analysis involving XG-Boost, LGBM, Apriori's Theorem, Cultural Analysis, Word2Vec and of course Re…☆9Updated 6 years ago
- This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Am…☆15Updated 7 years ago
- Score card model for Credit Scoring System.☆113Updated 5 years ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆36Updated 4 years ago
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆32Updated 6 years ago