shreshthvashisht/Bank-Loan-Case-Study

Risk Analytics using Python

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Sajid030/Lending-Club-Loan-Prediction

This app utilizes deep learning to predict the loan status of an applicant, whether it's "Fully Paid" or "Charged Off".

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AzeemWaqarRao/Classification-Based-Recommendation-System

This Notebook Recommends whether a user will be able to pay back loan or not. This system could be used by banks before giving loans to costumers

Language: Jupyter Notebook - Size: 609 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

rf-MLquests/loan-default-prediction

Home Loan Default Prediction

Language: Python - Size: 180 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

naveen-chauhan/Loan-Prediction-Classification

A Classification Problem which predicts if a loan will get approved or not.

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sonarsushant/Loan-Defaulter-Prediction

Classification problem to predict loan defaulters using Lending Club Dataset

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alanchn31/Loan-Default-Prediction

Loan Default Prediction using PySpark, with jobs scheduled by Apache Airflow and Integration with Spark using Apache Livy

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theoberva/credit_risk_modelling

Credit Risk Modelling

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brunokatekawa/credit_risk

[Project repo] Improving business with a credit risk model

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harendra263/Loan_approval

In this project, based on the historical data of customers, who has applied for loans, we will identify whether loan should be approved or not. This dataset belongs to Lending Club.

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caesarmario/loan-prediction-SAS-studio

Loan eligibility prediction in Lasiandra Finance Inc. (LFI) using SAS studio.

Language: SAS - Size: 1.73 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

dbnub/22_ML_project

은행 대출 채무 이행 예측 솔루션

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ashishpatel26/Streamlit_ML_DL

Streamlit_ML_DL

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sanket1105/Loan-Approval-Prediction-Removing-Outliers-and-Comparing-Models-

everything about the code is explained through comments below or above the code written in the .ipynb file

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richardwarepam16/Loan-Prediction

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.

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amogh9594/lending-club-loan-data-analysis

Create a model that predicts whether or not a loan will be default using the historical data.

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kz2511/Loan-Predction-System

The loan is a core part of every business today. This system will help the bank identify the royal customer for their bank and bank to contribute more to our GDP.

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rajat5ranjan/AV-LTFS-Data-Science-FinHack-ML-Hackathon

L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya

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archd3sai/Loan-Default-Prediction

In this project I applied various classification models such as Logistic Regression, Random Forest and LightGBM to accurately detect and classify consumers who will default the loan. SMOTE technique is used to combat class imbalance and LightGBM is implemented that resulted into the highest accuracy 98.89% and 0.99 F1 Score.

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LeondraJames/LoanPaymentPrediction_SVM

My first attempt with building a SVM model, and optimizing the cost and gamma parameters using the Gaussian Kernel grid search method.

Language: R - Size: 254 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

ShehzadaAlam/Vehicle-Loan-Default-Prediction

The objective of this project is to predict the probability of borrower defaulting on a vehicle loan in the first EMI (Equated Monthly Installments) on the due date.

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AyusheGangal/Loan-or-Not

A study, analysis and visualization of factors and relationships between those factors which determine the rate of interest and also if a person is a potential loan defaulter by using ML.

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Senan25/Credit_Risk_Modelling-Loan_Default_Prediction

This work is about "Loan Default Prediction" which is one of the most important and critical problems faced by banks and other financial institutions as it has a huge effect on profit

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lussierc/loan_eligibilty_determinator

A simple sample program that will determine an applicant's eligibility for a loan.

Language: Python - Size: 2.78 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

JayDS22/Machine-Learning-NLP-Deep-Learning

This repository consists of assignments and Models trained on various ML, NLP, & Deep Learning Algorithms.

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VyasBhaumik/Credit_Card_Loan_Default_Prediction

This case study aims to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc. This will ensure that the consumers capable of repaying the loan are not rejected.

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georgemuriithi/bank-loan-customers

Clustering bank loan customers using KMeans clustering and predicting their loan statuses using XGBClassifier. The prediction model is explained with SHAP values.

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yfirdaws/Loan-prediction

A loan prediction app that makes use of XGBOOST to predict. Deployed using streamlit and heroku.

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buntys2010/AV-LTFS-Data-Science-FinHack-ML-Hackathon

L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya

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Abuton/code-squad-project-course-work

A repository for the trainee @ codesquad. This repository contains projects that will be executed by trainees to certify that they have master what has been taught to them

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SidJain1412/LoanDataEDA

:blue_book: Detailed Exploratory Data Analysis of Lending Club Loan Data

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Mayank-MP05/Loan-Prediction-ML-Decision-Tree

learning project about comparing various models for loan acceptance predictance and improving accuracy with the Decision Tree classifier model

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Akhileshlekurwale/ML-Problems

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guptavasu1213/Loan-Default-Prediction

This repository contains different approaches to predict loan defaults based on the past user history. A loan only gets approved if the personal is not found to be a defaulter.

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arshmodak/Loan-Defaulters-EDA-and-Prediction-using-ML

Predicting Loan Defaulters using various Classification Algorithms using Python (Numpy, Pandas, Sklearn, Matplotlib, Seabon)

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JUGG097/Starter-Notebook-DSN-Bootcamp-Qualification-Hackathon

This repository contains a starter notebook for the DSN AI Bootcamp Qualification Hackathon

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ShaoniMukherjee/Loan-prediction

Loan prediction challenge from Analytics vidya

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vijay-jindal/LTFS-Data-Science-FinHack

This repository contains machine learning codes for predicting loan defaults using Adaboost, randomForest and LightGBM

Language: Python - Size: 22.2 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 1

Vikas3soni/Creditdefaulter

Credit defaulter prediction

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saxenaprerit/Predicting-Loan-Repayment

Size: 158 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

abhay6694/LoanPrediction

Classify the user as defaulter/non-defaulter based on various financial parameters

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sharmatanesh/Loan-Prediction-using-R

Language: R - Size: 17.6 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

thesickcynic/Loan-Default-Prediction

Mini-Project for the Data Warehousing and Data Mining lab at MIT, Manipal

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buntys2010/Edelweiss-Hackathon-Machine-Learning-Hackerearth

Machine Learning hackathon by Edelweiss organised by Hackerearth

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mattkearns/loan-default-prediction

Predicting loan default using machine learning on Lending Club data from 2007-2011.

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