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Topic: "balanced-random-forest"

nirab25/Insurance-Claim-Fraud-Detection

Insurance claim fraud detection using machine learning algorithms.

Language: Jupyter Notebook - Size: 422 KB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 12 - Forks: 4

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.

Language: Jupyter Notebook - Size: 2.23 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 3

cedoula/Credit_Risk_Analysis

Build and evaluate several machine learning algorithms to predict credit risk.

Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 12

Kenner82/Credit_Risk_Analysis

Testing 6 different machine learning models to determine which is best at predicting credit risk.

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

daiphuongngo/Banking-Dataset-Imbalanced-Learn-Comparison

Banking-Dataset-Marketing-Targets

Language: Jupyter Notebook - Size: 2.78 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

katewang1/Credit_Risk_Analysis

Predicts credit risk of individuals based on information within their application utilizing supervised machine learning models

Language: Jupyter Notebook - Size: 664 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

LJD0/Credit_Risk_Analysis

Analysis of different machine learning models' performance on predicting credit default

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

cbrito3/Credit_Risk_Analysis

Supervised Machine Learning and Credit Risk

Language: Jupyter Notebook - Size: 986 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

jbalooshie/Credit_Risk_Analysis

Testing various supervised machine learning models to predict a loan applicant's credit risk.

Language: Jupyter Notebook - Size: 55.7 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

BaileeRice/Credit_Risk_Analysis

using machine learning to assess credit risk

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 18.9 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

sarahm44/credit-risk-predictor

Uses several machine learning models to predict credit risk.

Language: Jupyter Notebook - Size: 9.54 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Peteresis/Credit_Risk_Analysis

Using Supervised Machine Learning algorithms to identify credit risks

Language: Jupyter Notebook - Size: 18.7 MB - Last synced at: 6 days ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

Akotovets1/Credit_Risk_Analysis

Supervised Machine Learning and Credit Risk

Language: Jupyter Notebook - Size: 216 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

inregards2pluto/credit-risk-analysis

Use scikit-learn and imbalanced-learn machine learning libraries to assess credit card risk.

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

ZeroDarkHardy/Credit_Risk_Analysis

Train and test multiple Machine Learning models to predict risk based on consumer credit profiles.

Language: Jupyter Notebook - Size: 43.1 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

enj657/Credit_Risk_Analysis

Built and evaluated several machine learning algorithms to predict credit risk.

Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Baylex/Credit_Risk_Analysis

Supervised Machine Learning and Credit Risk

Language: Jupyter Notebook - Size: 20.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 11

jharvey09/solana_sentinment_analysis Fork of MetaDJ/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"!

Size: 73.2 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Related Topics
machine-learning 17 easy-ensemble-classifier 9 smote 9 python 7 smoteenn 7 naive-random-oversampler 5 machine-learning-algorithms 5 scikit-learn 4 imbalanced-learning 4 oversampling 4 logistic-regression 4 ensemble-model 4 undersampling 4 smote-oversampler 4 cluster-centroid-undersampling 3 easyensembleclassifier 3 random-over-sampling 3 pandas 3 ensemble-learning 3 random-forest 3 cluster-centroids-undersampling 3 randomoversampler 3 cluster-centroids 3 smoteenn-combination 2 smoteen 2 jupyter-notebook 2 supervised-machine-learning 2 sklearn 2 xgboost 2 resampling 2 credit-risk 2 clustercentroids 2 classification 2 smote-algorithm 2 cluster-centroids-algorithm 2 scikitlearn-machine-learning 2 ada-boost-classifier 2 bagging-ensemble 1 balancedbaggingclassifier 1 decision-tree 1 deep-learning 1 deep-neural-networks 1 keras 1 over-sampling 1 rusboost 1 tensorflow 1 imbalance-learning 1 descision-tree 1 insurance-claims 1 knn-classification 1 knn-classifier 1 linear-discriminant-analysis 1 mlp-classifier 1 naive-bayes-classifier 1 neural-network 1 fintech 1 centroids 1 ensemble-classifier 1 resampling-methods 1 numpy 1 stochastic-gradient-descent 1 sentiment-analysis 1 natural-language-processing 1 adaboost 1 confusion-matrix 1 smote-sampling 1 adaboost-classifier 1 naive-random-oversampling 1 smote-oversampling 1 smoteenn-combination-sampling 1 data-visualization 1 imbalanced-data 1 imblearn 1 adaboost-algorithm 1 target-encoding 1 combination-sampling-algorithms 1 under-sampling 1 oversampling-algorithms 1 undersampling-algorithms 1 synthetic-minority-over-sampling 1 precision-recall 1 unbalanced-data 1