Amazon SageMaker Solution for explaining credit decisions.
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Updated
May 11, 2023 - Python
Amazon SageMaker Solution for explaining credit decisions.
A Classification Problem which predicts if a loan will get approved or not.
This repo contains my loan approval prediction project in Python.
[Project repo] Improving business with a credit risk model
Loan Application Prediction through machine learning moldes : Logistic Regression, Random Forest, DecisionTree,
Python Data Analytics, Machine Learning & Natural Language Processing
In this Notebook , We are going to solve the Loan Approval Prediction.This is a Classification problem in which we need to classify whether the loan will be approved or not.
Should you get a loan? Will you pay on time?
Loan eligibility prediction with Logistic Regression
What's up This project was mainly training my self on training ML models 🤖 and also to train on doing EDA 📜 to get the acceptance of the loan.
Business Intelligence( BI) & Tableau
I’d be walking us through Loan prediction using some selected Machine Learning Algorithms.
In this data science project, we will predict borrowers chance of defaulting on loans by building a default prediction model.
Loan Prediction using machine learning
Loan eligibility prediction in Lasiandra Finance Inc. (LFI) using SAS studio.
Machine Learning
This a practice project for Classification model with different models like Logistic Regression, Decision Tree Classifier, Random Forest Classifier and Xgboost Classifier. At the end, Logistic Regression gave the best result.
A real life project, predicting the approval of loan for a particular customer with particular features using logistic regression.
We find which attributes matter the most for loan decisions using neural attention. NIPS 2019 workshop
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