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?
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.
Loan eligibility prediction with Logistic Regression
Business Intelligence( BI) & Tableau
In this data science project, we will predict borrowers chance of defaulting on loans by building a default prediction model.
I’d be walking us through Loan prediction using some selected Machine Learning Algorithms.
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.
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