KunyuHe / ML-Pipeline-on-Financial-Distress-Data
The project built a machine learning pipeline to classify whether an individual will experience financial distress (experience 90 days past due delinquency or worse) in the next two years based on income, household and credit history of that person. The pipeline currently supports 3 models (KNN, Decision Tree, and Random Forest), and use grid se…
☆14Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for ML-Pipeline-on-Financial-Distress-Data
- BakTst_Trd is a simple quantitative trading system.☆5Updated 5 years ago
- ☆4Updated 5 years ago
- A note management web application based on ReactJs☆0Updated 4 years ago
- 通过分类的方式自定义Timer，再也不用怕由于target强引用controller后，导致循环引用，导致controller不能释放了！☆1Updated 5 years ago
- ☆1Updated 5 years ago
- vue☆0Updated 5 years ago
- 通过分类以block回调的方式封装KVO，监听对象的controller销毁后会自动remove observer，简单易用。☆2Updated 5 years ago
- ☆0Updated 5 years ago
- 雷达☆0Updated 5 years ago
- 一款基于express开发的静态文件转发服务器。前端搭建本地开发环境时可以用到。☆0Updated last year
- Quick and easy to generate preview image of Github contributors.☆0Updated 5 years ago
- ☆3Updated last year
- ☆2Updated 5 years ago
- A FrameWork for Development of Unity3D，and which is [Progressive].☆3Updated 5 years ago
- 运用Dagger2+Retrofit2+RxJava+Realm所制作的一个关于干货分享的练手项目☆2Updated 5 years ago
- ☆1Updated last year
- Golang Uniform Resource Locator☆3Updated 6 years ago
- ☆0Updated 5 years ago
- APP端demo☆6Updated 5 years ago
- Fstar-tutorial-Han-translation☆0Updated 5 years ago
- A memo friend by your side on the could!☆0Updated last year