WebGerman Credit: The German Credit data frame has 1000 rows and 8 columns. This are data for clients of a south german bank, 700 good payers and 300 bad payers. They are used … WebJul 21, 2024 · In this project, I used a dataset containing financial information and personal details of individuals to build and evaluate machine learning models to predict their credit …
(PDF) Credit Approval Analysis using R - ResearchGate
WebSep 30, 2024 · The KNN classification is performed using the following four steps: · Compute the distance metric between the test data point and all the labelled data points. · Order the labelled data points... WebAug 13, 2024 · The credit data provided by the Company in the first quarter of 2024 have a total of 96,781 samples and 145 characteristics, which mainly include the financial data … furniture stores broward county
Application Analysis of Credit Scoring of Financial ... - Hindawi
WebMar 7, 2024 · The package aims to facilitate the applications of the methods of variable analysis, variable selection, model development, model calibration, rating scale development and model validation. ... The package was issued for the use of credit risk professionals. Basic level knowledge about credit risk scoring methodologies is required for use of ... WebJan 23, 2024 · 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 … WebModels Implemented: 1. Multiple Regression, Linear Regression, S-ARIMA, Clasification, Decision Tree, Random Forest, ANN using Excel, R, Microsoft AzureML,Python Employee Attrition using Decision tree, KNN, SVM, XG boost. -Analyzed the attributes and parameter fit for the model, after feature engineering , … furniture stores broken arrow ok