Data Science in the Banking Industry [Volume 1]
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Updated
Jul 16, 2020 - R
Data Science in the Banking Industry [Volume 1]
In this data science project, we will predict borrowers chance of defaulting on loans by building a default prediction model.
Prediction of people's future financial situation based on ML algorithms
Algoritmo de machine learning para análise de crédito desenvolvido em um curso na Alura
Kaggle Give Me Some Credit Challenge
Comparison of Machine Learning Methods on a Sample of Bank Customers When Estimating Probability of Default Status
NCTU ECM Deep Learning course final project
Innovative solution for credit scoring leveraging machine learning to predict credit risk using The International Bank for Reconstruction and Development (IBRD) Loans dataset.
Este repositorio contiene el proceso completo de importación, exploración, limpieza y modelado; tiene como objetivo probar algunas librerías python en particular.
Repo on interesting projects I've been working on ranging from webscraping to modelling and research
Obejctive project are create a system to help loan assessments automatically & Business Metrics are daily resolved applications and average resolved time
Data analysis, preprocessing and custom ML model implementation for a credit score app.
Build a machine learning model that can automatically assess loans with goal to predict client’s repayment abilities and speed up inspection filing without spending more money.
Home Credit is currently using various statistical methods and Machine Learning to make credit score predictions to ensure clients who are able to make payments are not rejected when applying for the loan.
Exploratory data analysis of Prosper.com loans from 2005 - early 2014
Plugin for auto-calculation (no-code) for Weight of Evidence & Information Value (IV) in Dataiku DSS
Add a description, image, and links to the credit-scoring topic page so that developers can more easily learn about it.
To associate your repository with the credit-scoring topic, visit your repo's landing page and select "manage topics."