balanced-random-forest
There are 37 repositories under balanced-random-forest topic.
nirab25/Insurance-Claim-Fraud-Detection
Insurance claim fraud detection using machine learning algorithms.
sharmaroshan/Fraud-Detection-in-Insurace-Claims
This is a very Important part of Data Science Case Study because Detecting Frauds and Analyzing their Behaviours and finding reasons behind them is one of the prime responsibilities of a Data Scientist. This is the Branch which comes under Anamoly Detection.
cedoula/Credit_Risk_Analysis
Build and evaluate several machine learning algorithms to predict credit risk.
Deving789/Credit_Risk_Analysis
Evaluate the performance of multiple machine learning models using sampling and ensemble techniques and making a recommendation on whether they should be used to predict credit risk.
daiphuongngo/Banking-Dataset-Imbalanced-Learn-Comparison
Banking-Dataset-Marketing-Targets
Baylex/Credit_Risk_Analysis
Supervised Machine Learning and Credit Risk
Kenner82/Credit_Risk_Analysis
Testing 6 different machine learning models to determine which is best at predicting credit risk.
abidor13/Credit_Risk_Analysis
Analyze of several Machine Learning techniques in order to help Jill decide on a most effective Machine Learning Model to analyze Credit Card Risk applications.
Akotovets1/Credit_Risk_Analysis
Supervised Machine Learning and Credit Risk
annette-blackburn/Credit_Risk_Analysis
Supervised Machine Learning Project
BaileeRice/Credit_Risk_Analysis
using machine learning to assess credit risk
BiancaTaisePommerening/Credit_Risk_Analysis-
Supervised Machine Learning
cbrito3/Credit_Risk_Analysis
Supervised Machine Learning and Credit Risk
DSupps/Credit_Risk_Analysis
Build and evaluate several machine learning algorithms to predict credit risk.
dw251414/Credit_Risk_Analysis
Build and evaluate several machine learning algorithms to predict credit risk.
enj657/Credit_Risk_Analysis
Built and evaluated several machine learning algorithms to predict credit risk.
eric-blankinshp/Credit_Risk_Analysis_Supervised_ML
About Six different techniques are employed to train and evaluate models with unbalanced classes. Algorithms are used to predict credit risk. Performance of these different models is compared and recommendations are suggested based on results. Topics
inregards2pluto/credit-risk-analysis
Use scikit-learn and imbalanced-learn machine learning libraries to assess credit card risk.
jamesmoonusa/Credit_Risk_Analysis
Predicting Credit Risk by Using Several Machine Learning algorithms
jbalooshie/Credit_Risk_Analysis
Testing various supervised machine learning models to predict a loan applicant's credit risk.
jharvey09/solana_sentinment_analysis
For this analysis, we used computational linguistics and biometrics to systematically identify the trend using various news articles and closing prices using the "CoinGecko CSV & Crypto News API"!
lawrencegoodwyn/LendingClub-Risk-Analysis
This repo contains code that looks into LendingClub's membership data and employs ML to see if the model can predict a user's "credit risk" based on lending.
LJD0/Credit_Risk_Analysis
Analysis of different machine learning models' performance on predicting credit default
Mishkanian/Credit_Risk_Analysis
Six different techniques are employed to train and evaluate models with unbalanced classes. Algorithms are used to predict credit risk. Performance of these different models is compared and recommendations are suggested based on results.
NedaAJ/Credit_Risk_Analysis
Build and evaluate several machine learning algorithms to predict credit risk
nhafer88/Credit_Risk_Analysis
Built and evaluated variety of supervised machine learning algorithms to predict credit risk.
Nusratnimme/Credit_Risk_Analysis
Build and evaluate several machine learning algorithms by resampling models to predict credit risk.
Peteresis/Credit_Risk_Analysis
Using Supervised Machine Learning algorithms to identify credit risks
ramya-ramamur/Credit_Risk_Analysis
Determine supervised machine learning model that can accurately predict credit risk using python's sklearn library. Python, Pandas, imbalanced-learn, skikit-learn
sarahm44/credit-risk-predictor
Uses several machine learning models to predict credit risk.
shayanafzal/Credit_Risk_Analysis
Using machine learning to train and evaluate models with unbalanced classes to determine the best models to predict credit risk.
showkatewang/Credit_Risk_Analysis
Predicts credit risk of individuals based on information within their application utilizing supervised machine learning models
Tracari/Credit_Risk_Analysis
Resampling exercise to predict accuracy, precision, and sensitivity in credit-loan risk
ZeroDarkHardy/Credit_Risk_Analysis
Train and test multiple Machine Learning models to predict risk based on consumer credit profiles.