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]
Prediction of people's future financial situation based on ML algorithms
Kaggle Give Me Some Credit Challenge
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.
PD model using Logistic Regression in Python
This is where I tried different Machine Learning methods to predict loan defaults
Using a credit score data from Kaggle, determine clients to provide loans and are less likely to default.
This GitHub repository contains the project I developed during my participation in the Virtual Internship Experience organized by Rakamin Academy in collaboration with Home Credit Indonesia.
Developed a Credit Scoring Model utilizing Logistic Regression and decile methodology to empower data-driven lending decisions for banks, optimizing profitability and market penetration.
A Credit Scoring Model is a statistical tool used by lenders to assess the creditworthiness of borrowers based on various factors.
Modelo de avaliação de aumento no limite de cartão de crédito para clientes de um banco digital.
Application of Active Learning methodology to Credit Scoring datasets and classification problems
This project and exercises were made for the Models in credit and operational risk course at the AGH UST in 2022. All provided methods are a result of my work after hours, when I was solving given tasks (topics).
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."