Loan Payment Prediction

Project Description

• A simple model to predict the user's ability to pay the loan.
• A part of my team's term-end assignment for the course Data Warehousing - INT3207 1 at UET.
• Team members:
  • 21020035 Nguyễn Huy Thái
  • 21020327 Nguyễn Đức Hùng
  • 21020365 Đỗ Tuấn Nghĩa
  • 21020291 Trần Anh Dũng
  • 20020335 Kha Văn Thương

Dataset

• You can download the data set from here.

Installation

• Clone the repository

    git clone https://github.com/huythai855/loan-payment-prediction

• Change the data files in the data/raw folder.
• Install the requirements

    pip install -r requirements.txt

• Run the project

    python3 src/models/train_model.py

• The result visualization will be saved in the reports/figures folder.

Sample Result

Project Organization

├── README.md                         <- This description file
├── data
│   ├── processed               <- The splited and preprocessed data.
│   └── raw                     <- The original data.
│
├── models                   
│   └── MRL.pkl                 <- Sample trained model.
│
├── reports            
│   └── figures        
│     └── plot.png         <- Resulting plot based on the data.
│
├── requirements.txt                <- The requirement libraries to set up the environment.
│
├── setup.py                        <- Makes project pip installable (pip install -e .).
└── src
   │
   ├── data
   │ └── make_dataset.py      <- Splits and preprocesses the data.
   │
   ├── models
   │   ├── evaluate_model.py     <- Evaluates the model accurancy.
   │   └── train_model.py        <- Trains the model.
   │
   └── visualization
       └── visualize.py   <- Visualizes and exports the result.