GitHub / L98S / step-by-step-credit-card-approvals-prediction
This repository provides a step-by-step guide for predicting credit card approval using machine learning techniques.
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PURL: pkg:github/L98S/step-by-step-credit-card-approvals-prediction
Stars: 0
Forks: 0
Open issues: 1
License: None
Language: Jupyter Notebook
Size: 1.16 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: over 1 year ago
Commit Stats
Commits: 10
Authors: 1
Mean commits per author: 10.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/L98S/step-by-step-credit-card-approvals-prediction
Topics: exploratory-data-analysis, finance, knn-classification, logistic-regression, pipline, preprocessing, preprocessing-data, random-forest-classifier, svm-classifier