There are 3 repositories under loan-prediction topic.
Machine Learning - End to End Data Science Projects
A Classification Problem which predicts if a loan will get approved or not.
Predicts a chance of loan repayment based on historical data
Predict if your loan will be accepted or not. This happens by using a labeled data for applicants who applied for a loan before, analyzing these data and using some classification models on it.
A demo pipeline of using Redis as an online feature store with Feast for orchestration and Ray for training and model serving
An example of using Redis + RedisAI for a microservice that predicts consumer loan probabilities using Redis as a feature and model store and RedisAI as an inference server.
Loan Prediction using Machine Learning algorithms
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.
I’d be walking us through Loan prediction using some selected Machine Learning Algorithms.
Loan eligibility prediction in Lasiandra Finance Inc. (LFI) using SAS studio.
Loan Prediction using Machine Learning
This repo is for derived from a competition from analytics vidhya for predicting loan using the data given.
Code developed for my AC classes, FEUP - MEIC (2021/22)
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.
This app utilizes deep learning to predict the loan status of an applicant, whether it's "Fully Paid" or "Charged Off".
This Repository contains the Loan Prediction Project created by using 4 different Machine Learning Algorithms.
Flask app for predicting loan grant. Model Deployed using Heroku.
This was a project that I worked on during my 4th year, the goal was to look for the best dataset that could be used for credit loan approval, we had to clean, feature engineer and then clean the dataset again as it had too much useless features (the dataset was not destined for this application) then applied a binary classification model.
An End-to-End Data Science Project: Loan Eligibility
This repo analyzes the profitability of approving a bank loan for two projects by using Monte Carlo Simulation. Based on a Harvard Business Review case study, it considers cash flow uncertainty and investment returns. The analysis simulates various scenarios, offering insights for informed decision-making on the loan's potential profitability.
loan-prediction-logistic-regression
This project uses machine learning algorithms to predict the classification of loan status. The dataset is loaded and some transformation is done using SQL for getting a proper dataset with some valid informations.
It’s a classification problem, given information about the application we have to predict whether the they’ll be to pay the loan or not.
This repository describes my assignment in Data Science related to Exploratory Data Analysis in detecting the type of customers who are more likely to accept a loan with minimum defaulting rate.
This project uses machine learning algorithms to predict the classification of loan status. The dataset is loaded and some transformation is done using SQL for getting a proper dataset with some valid informations.
Analysis of Streaming dataset with different attributes of a Customer to find whether they are eligible for a loan.
Loan Approval Prediction Model using the dataset from Kaggle
Minor Machine Learning project on Loan Prediction
An End-to-End production ready application for predict whether the loan will approve or not. assesses the likelihood of approving a loan. 📊💰 It involves collecting and processing data on applicants, training a model to predict loan approval, and creating a system for real-time predictions. 🤖
In AI Course in 4th semester (between March 2022 and April 2022). It was a teamwork.
End-To-End Data Science Project
This program is mainly used to figure out loan schedules for clients and can be used both by clients and loan providers to both show and save a document that has the loan schedule on it.
This application tells whether your loan get approved or not