Predictive analysis applications in the finance domain(for predicting loan defaults)
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Machine Learning Model Preparation
- Python 3
- pandas
- numpy
- scipy
- scikit-learn
- matplotlib
- seaborn
- jupyter notebook
- Numpy
- Pandas
- scikit learn
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Web application
- Flask
- Html
- Css
- JavaScript
- Bootstrap
To run locally, it is assumed that you have python installed on your system
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Create a virtual environment. virtualenv venv
- Activate virtual environment via \venv\scripts\activate
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Install the requirements. pip install -r requirements.txt
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Get ready with all files like html,css,javascript
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Run the server python manage.py runserver
The output of this model is a flask web-app which predict the " Wether to the Borrower gonna be a defaulter or not ".
Vikram singh
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Twitter: https://twitter.com/vikramvinay1
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