Francesco-Sovrano/From-Philosophy-to-Interfaces-an-Explanatory-Method-and-a-Tool-Inspired-by-Achinstein-s-Theory-of-E

From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation

Language: Python - Size: 18.8 MB - Last synced: 29 days ago - Pushed: about 3 years ago - Stars: 1 - Forks: 1

kushalv238/credit-approval-system

A Django-based Credit Approval System that intelligently determines loan eligibility and offers real-time insights based on past loan data and customer profiles using PostgreSQL.

Language: Python - Size: 95.7 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 0

Francesco-Sovrano/YAI4Hu

Language: HTML - Size: 11 MB - Last synced: 29 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

kunaladarsh/Credit-Card-Approval-Prediction

In this prototype, credit card approval data was analysed and a machine learning model was created to forecast the approval of credit card requests.

Language: Jupyter Notebook - Size: 6.09 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

KevinSigcho/Exploratory-Data-Analysis

Exploratory Data Analysis about Credit Approval dataset

Size: 10.7 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

imsrinin/Credit_Approval

Credit Approval System: SVM Model (Built from scratch and compared against python sklearn fn)

Language: Jupyter Notebook - Size: 5.14 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

gianluigilopardo/HELOC-Credit-Approval

This notebook is ispired by the AIX360 HELOC Credit Approval Tutorial, which shows different explainability methods for a credit approval process. Here XGBoost is used for classification, achieving better accuracy than most of the models used in that notebook. Then, feature importance methods are shown, to be compared with the Data Scientist explanations methods provided in the above notebook. The first ones come directly with XGBoost and the other is based on SHAP.

Language: Jupyter Notebook - Size: 781 KB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 3 - Forks: 0

aritzLizoain/Credit-applicant-classification

Classifying credit applicants with 9 different ML models

Language: R - Size: 1.21 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

berksudan/Credit-Approval-Tool

Classified and clustered bank clients with respect to their user profile and decided if they should get credit. KNN & KMeans algorithms, K-Fold developed in C without libraries.

Language: C - Size: 1.14 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0