239 results for “topic:loan-default-prediction”
Lending Club Loan data analysis
Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
Applying machine learning to predict loan charge-offs on LendingClub.com
A Classification Problem which predicts if a loan will get approved or not.
No description provided.
Loan Management System and daily collection Api For Financial institutions.
Loan Default Prediction using PySpark, with jobs scheduled by Apache Airflow and Integration with Spark using Apache Livy
[Project repo] Improving business with a credit risk model
The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.
Predicting the default customers
No description provided.
Capstone Project: Predicting default in P2P lending
Classification problem to predict loan defaulters using Lending Club Dataset
No description provided.
Credito - Credit Risk Analysis using XGBoost Classifier with RandomizedSearchCV for loan approval decisions.
L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
:blue_book: Detailed Exploratory Data Analysis of Lending Club Loan Data
No description provided.
Credit Risk Analysis - PD Modelling
Streamlit_ML_DL
IS6400 Business Data Analytics 课程小组项目的代码仓库，探索数据分析在商业领域的应用。
Bank-style Credit Risk Scorecard using Logistic Regression, IFRS-9 Expected Credit Loss, and an Interactive Streamlit Risk Dashboard for loan default prediction.
datawhale&科大讯飞举办的学习挑战赛————“车辆贷款违约预测挑战赛” Rank4 方案
Machine Learning Key Projects
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.
Create a model that predicts whether or not a loan will be default using the historical data.
Loan eligibility prediction in Lasiandra Finance Inc. (LFI) using SAS studio.
Business Intelligence( BI) & Tableau