Research Report on TrueAccord, a FinTech company founded in 2013 and based out of San Francisco, that is revolutionizing the debt collection industry.
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Updated
Sep 26, 2020
Research Report on TrueAccord, a FinTech company founded in 2013 and based out of San Francisco, that is revolutionizing the debt collection industry.
By performing feature engineering, visualization, and data cleaning, analysts can gain valuable insights into credit score data. These steps help in understanding the factors influencing credit scores, and identifying potential data quality issues,
This project's main objective was to help farmers without a credit score get a loan from the bank based on several criteria.
Built a user-friendly service that eliminates credit inquiries in which a loan applicant simply inputs non-identifiable but relevant information to estimate their interest rate of that loan based on loan amount, housing status, credit score, and loan terms.
Credit Risk Modeling with Python
Build a machine learning model that can automatically assess loans with goal to predict client’s repayment abilities and speed up inspection filing without spending more money.
a financial analyst project revolves around credit segmentation to separate customers with clustering
ML-powered model for predicting credit scores for free.
Projeto de criação de modelo de machine learning para score de credito, percorrendo todo o pipeline dos dados. Coleta, exploração, tratamento, limpeza, treino e deploy.
How to create a credit score model in Layer
The creation of the credit score models of a lending company.
A Flutter package
CodeAlpha ML internship
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 scores. The credit score is an important metric that determines an individual's creditworthiness and ability to obtain loans.
Credit card score classification using bank dataset with machine learning
This repo contains analysis of Lending Club Credit rates and also case study for a client to get a fully funded loan at the lowest credit rate with a desired duration.
canvas实现类似支付宝信用分的效果(演示的是非模块版本的,codesandbox的index2.html是模块传参的)
Classification Model for Credit Score using Logistic Regression, Evaluation using AUC and KS
An Exploratory Data Analysis was done on the Credit Card dataset using libraries in R . The EDA insights were used to create a report.
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