imbalanced-learn

There are 0 repository under imbalanced-learn topic.

kochlisGit / ProphitBet-Soccer-Bets-Predictor
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
soccer statistics feature-analysis deep-neural-networks feature-importance imbalanced-learning interpretability-methods machine-learning-algorithms neural-network random-forest soccer-betting soccer-matches football-data predictions upcoming-games imbalanced-learn data-visualization pandas-dataframe seaborn optuna
Language:Python 258
self-paced-ensemble
ZhiningLiu1998 / self-paced-ensemble
ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
imbalance-classification ensemble-learning imbalanced-learning imbalanced-data ensemble-methods machine-learning python3 ensemble ensemble-model classification pypi class-imbalance imbalanced-learn
Language:Python 248
mesa
ZhiningLiu1998 / mesa
NeurIPS’20 | Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
imbalanced-learning imbalanced-data meta-learning-algorithms meta-sampler ensemble ensemble-model ensemble-machine-learning mesa meta-training class-imbalance imbalance-classification imbalanced-learn
Language:Jupyter Notebook 103
zunicd / Bank-Churn-Prediction
Bank customers churn dashboard with predictions from several machine learning models.
seaborn pandas flask scikit-learn gridsearchcv smote python matploblib imbalanced-learn keras-tensorflow html-css-bootstrap jupyter-notebooks pipelines
Language:Jupyter Notebook 35
zoj613 / pyloras
Experimental implementations of several (over/under)-sampling techniques not yet available in the imbalanced-learn library.
imbalanced-learn loras prowras
Language:Python 10
maronem / Credit_Risk_Analysis
Testing different supervised machine learning algorithms to predict credit risk
imbalanced-learn machine-learning predictive-modeling scikit-learn supervised-learning
Language:Jupyter Notebook 2
ArtTucker / Credit_Risk_Analysis
Credit risk analysis using scikit-learn and imbalanced-learn.
scikit-learn imbalanced-learn machine-learning supervised-learning credit-risk-analysis lendingclub-data
Language:Jupyter Notebook 1
mrcreasey / oc-ds-p7-scoring-dashboard
Conception and deployment of a credit-scoring model, API and interactive dashboard
flask-api imbalanced-learn lightgbm-classifier streamlit supervised-learning
Language:Jupyter Notebook 1
sainigagandeep / Credit_Risk_Analysis
Identify credit card risk using Machine Learning algorithms
imbalanced-learn machine-learning scikit-learn
Language:Jupyter Notebook 1
TaylortheGenie / insurance_claims
A full stack classification machine learning project.
bootstrap5 flask imbalanced-learn modular-programming python scikit-learn
Language:Jupyter Notebook 1
acfthomson / Credit_Risk_Analysis
Data analysts were asked to examine credit card data from peer-to-peer lending services company LendingClub in order to determine credit risk. Supervised machine learning was employed to find out which model would perform the best against an unbalanced dataset. Data analysts trained and evaluated several models to predict credit risk.
supervised-machine-learning scikit-learn imbalanced-learn randomoversampler smote smoteenn clustercentroids random-forest adaboost confusion-matrix numpy pandas matplotlib-pyplot
Language:Jupyter Notebook 0
cmmgw / Credit_Risk_Analysis
python numpy pandas pathlib collections scikit-learn imbalanced-learn supervised-machine-learning naive-random-oversampler smote-oversampler cluster-centroids-undersampling smoteenn-combination balanced-random-forest easy-ensemble-classifier excel jupyter-notebook
Language:Jupyter Notebook 0
egorumaev / 2022-bank-customers-churn
Предсказание оттока клиентов из банка
adasyn classification imbalanced-learn pandas phik random-undersampling sklearn smote smotetomek
Language:Jupyter Notebook 0
herose07 / Machine_Learning_Credit_Risk_LendingClub
Built and evaluated several machine-learning models to predict credit risk using free data from LendingClub.
scikit-learn numpy pandas imbalanced-learn
Language:Jupyter Notebook 0
hhnguyenn / Credit_Risk
Credit risk is an unbalanced classification problem, as the number of good loans easily outnumber the number of risky loans. Use imbalanced-learn and scikit-learn libraries to build and evaluate machine learning models using resampling.
imbalanced-learn linear-regression logistic-regression machine-learning scikit-learn supervised-machine-learning
Language:Jupyter Notebook 0
kobertlam / Credit_Risk_Analysis
Use Python and Scikit-learn and Imbalanced-learn to predict credit risk. Compare the strengths and weaknesses of machine learning models. Assess how well a model works.
python jupyter-notebook scikit-learn-python imbalanced-learn supervised-machine-learning
Language:Jupyter Notebook 0
lingumd / Credit_Risk_Analysis
Machine learning models for predicting credit risk in LendingClub dataset.
balancedrandomforestclassifier cluster-centroids-undersampling easyensembleclassifier imbalanced-learn machine-learning randomoversampler smote smoteenn confusion-matrix classification-report matplotlib-pyplot numpy pandas pathlib scikit-learn google-colab get-dummies
Language:Jupyter Notebook 0
MazinOnsa / SPEAKER-ACCENT-RECOGNITION
speech-recognition python3 imbalanced-learn smote mfcc outlier-detection multicollinearity class-weights
Language:Jupyter Notebook 0
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.
machine-learning scikit-learn imbalanced-learn unbalanced-data python easy-ensemble-classifier balanced-random-forest smote smoteenn
Language:Jupyter Notebook 0
rivas-j / Credit_Risk_Analysis-Machine-Learning
Utilizing Machine Learning to Analyze and Assess Credit Risk
jupyter-notebook machine-learning python3 imbalanced-learn numpy scikit-learn scipy
Language:Jupyter Notebook 0
SohaT7 / Credit_Risk_Analysis
Supervised machine learning models built and evaluated to predict credit loan risk. Resampling and ensemble techniques applied to the logistic regression classifier models using Scikit-learn, Imbalanced-learn, Pandas, and NumPy libraries in Python.
python imbalanced-learn machine-learning numpy pandas scikit-learn
Language:Jupyter Notebook 0
SYDsCorner / Credit_Risk_Analysis
Predict credit risk with machine learning models by using different techniques to train and evaluate models with unbalanced classes.
ensemble-model imbalanced-learn imbalanced-learning machine-learning python resampling-methods sklearn sklearn-library supervised-learning unbalanced-data
Language:Jupyter Notebook 0
zobairhas / Credit_Risk_Analysis
Predict credit risk using a variety of Resampling Models and algorithms.
etl imbalanced-learn machine-learning scikit-learn
Language:Jupyter Notebook 0
00ber / review-score-prediction-amazon-fine-food
Review score prediction using text on the Amazon Fine Food dataset
imbalanced-learn naive-bayes-classifier nltk
Language:Jupyter Notebook
daze0 / data-intensive-final-project
Final project for the end of the course in collaboration with Alessandro Zanzi.
machine-learning classification matplotlib numpy python sklearn imbalanced-learn
Language:Jupyter Notebook
Dimara-Delmar / Credit_Risk_Analysis
Using six different machine learning algorithms to evaluate credit data and compare each model’s accuracy, precision, and recall scores in relation to the data’s credit risk.
imbalanced-learn jupyter-notebook machine-learning python scikit-learn
Language:Jupyter Notebook
dldmarnell / risky-business
Predict credit risk with machine learning techniques.
classification ensemble-learning imbalanced-classification imbalanced-learn machine-learning resampling scikit-learn
Language:Jupyter Notebook
kheller18 / credit_risk_resampling
Machine learning app to identify credit risk
imbalanced-learn logistic-regression machine-learning numpy pandas python scikit-learn
Language:Jupyter Notebook
ksommerdorf / SupervisedML
A case study utilizing supervised machine learning. (In order for the code to work, unzip the csv file in the Resources folder)
data-analysis imbalanced-learn imbalanced-learning machine-learning machine-learning-algorithms python python3 scikit-learn supervised-learning
Language:Jupyter Notebook
SohaT7 / NYC_Restaurant_Analysis
Data visualization of the NYC restaurant data, and data analysis to gauge if a restaurant located in a high-income area receives a higher health inspection grade. Uses Python (Pandas, Scikit-learn, Imbalanced-learn), PostgreSQL, SQLAlchemy, Tableau, JavaScript (Plotly.js library), HTML, CSS, and Bootstrap.
bootstrap css data-analysis data-visualization html imbalanced-learn javascript machine-learning pandas plotly postgresql python scikit-learn sqlalchemy supervised-machine-learning tableau
Language:JavaScript
tyedem / Risky_Business
Credit Risk Analysis utilizing imbalanced classification machine learning models
classification cluster-centroids-undersampling easy-ensemble-classifier ensemble-learning finance imbalanced-learn logistic-regression machine-learning random-forest resampling risk-analysis scikit-learn smote-oversampler smoteenn-combination
Language:Jupyter Notebook

imbalanced-learn

kochlisGit / ProphitBet-Soccer-Bets-Predictor

ZhiningLiu1998 / self-paced-ensemble

ZhiningLiu1998 / mesa

zunicd / Bank-Churn-Prediction

zoj613 / pyloras

maronem / Credit_Risk_Analysis

ArtTucker / Credit_Risk_Analysis

mrcreasey / oc-ds-p7-scoring-dashboard

sainigagandeep / Credit_Risk_Analysis

TaylortheGenie / insurance_claims

acfthomson / Credit_Risk_Analysis

cmmgw / Credit_Risk_Analysis

egorumaev / 2022-bank-customers-churn

herose07 / Machine_Learning_Credit_Risk_LendingClub

hhnguyenn / Credit_Risk

kobertlam / Credit_Risk_Analysis

lingumd / Credit_Risk_Analysis

MazinOnsa / SPEAKER-ACCENT-RECOGNITION

Mishkanian / Credit_Risk_Analysis

rivas-j / Credit_Risk_Analysis-Machine-Learning

SohaT7 / Credit_Risk_Analysis

SYDsCorner / Credit_Risk_Analysis

zobairhas / Credit_Risk_Analysis

00ber / review-score-prediction-amazon-fine-food

daze0 / data-intensive-final-project

Dimara-Delmar / Credit_Risk_Analysis

dldmarnell / risky-business

kheller18 / credit_risk_resampling

ksommerdorf / SupervisedML

SohaT7 / NYC_Restaurant_Analysis

tyedem / Risky_Business