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.
Language:Python 454- self-paced-ensemble
ZhiningLiu1998 / self-paced-ensemble
[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
Language:Python 259 - 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
Language:Jupyter Notebook 109 zunicd / Bank-Churn-Prediction
Bank customers churn dashboard with predictions from several machine learning models.
Language:Jupyter Notebook 60zoj613 / pyloras
Experimental implementations of several (over/under)-sampling techniques not yet available in the imbalanced-learn library.
Language:Python 12maronem / Credit_Risk_Analysis
Testing different supervised machine learning algorithms to predict credit risk
Language:Jupyter Notebook 2mrcreasey / oc-ds-p7-scoring-dashboard
Conception and deployment of a credit-scoring model, API and interactive dashboard
Language:Jupyter Notebook 2ArtTucker / Credit_Risk_Analysis
Credit risk analysis using scikit-learn and imbalanced-learn.
Language:Jupyter Notebook 1- Language:Jupyter Notebook 1
sainigagandeep / Credit_Risk_Analysis
Identify credit card risk using Machine Learning algorithms
Language:Jupyter Notebook 1SohaT7 / 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.
Language:JavaScript 1TaylortheGenie / insurance_claims
A full stack classification machine learning project.
Language:Jupyter Notebook 1alexandrazhuu / Shopping-Intentions
What causes a shopper to hit "purchase"?
Language:Jupyter Notebook 0Danish-Jamil-01 / kidney-tumor-detection
Demonstrating how changes in input image resolution affect the algorithm's output
Language:Jupyter Notebook 0daze0 / data-intensive-final-project
Final project for the end of the course in collaboration with Alessandro Zanzi.
Language:Jupyter Notebook 0egorumaev / 2022-bank-customers-churn
Предсказание оттока клиентов из банка
Language:Jupyter Notebook 0ksommerdorf / SupervisedML
A case study utilizing supervised machine learning. (In order for the code to work, unzip the csv file in the Resources folder)
Language:Jupyter Notebook 0lingumd / Credit_Risk_Analysis
Machine learning models for predicting credit risk in LendingClub dataset.
Language:Jupyter Notebook 0lohith-b-a / ICU-Mortality-Fairness-ML
Fairness-aware ICU mortality prediction using MIMIC-III data and Group-Aware SMOTE
Language:HTML 0MatthieuLeNozach / insurance_classification_imalanced
Binary classification from a dataset with imbalanced target feature classes
Language:Python 0rivas-j / Credit_Risk_Analysis-Machine-Learning
Utilizing Machine Learning to Analyze and Assess Credit Risk
Language:Jupyter Notebook 0ttsudipto / recurrence-pred-genomics
ML-based prediction of NSCLC recurrence with gene expression data
Language:Python 000ber / review-score-prediction-amazon-fine-food
Review score prediction using text on the Amazon Fine Food dataset
Language:Jupyter Notebookadabyt / imbalanced-data-techniques
Dealing with Imbalanced Datasets in Binary Classification: A Comparative Study of Resampling and Ensemble Methods
Language:PythonDimara-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.
Language:Jupyter NotebookHemanth-072 / Stroke-Risk-Prediction-Using-Machine-Learning
Machine-learning pipeline for predicting stroke risk from patient health and lifestyle data.
Language:Jupyter Notebookhoanglechau / obesity-level-estimation-ds
Built a machine learning pipeline to classify obesity levels and predict BMI from behavioral and demographic data – employing SMOTE for class balancing, training Decision Tree, Random Forest, and Gradient Boosting models, and using feature importance analysis to highlight key lifestyle factors.
Language:Jupyter NotebookEngineered a predictive ML pipeline to classify online shoppers’ purchase intent and segment customer types – leveraging SMOTE to address class imbalance, applying mRMR for feature selection, and training multiple scikit-learn classifiers and K-Means clustering to drive revenue-boosting insights.
Language:Jupyter NotebookIFTE-13 / Early-Stage-Brain-Stroke-Detection
Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm
Language:Jupyter NotebookLoan Approval System
Language:Jupyter Notebookkagor4 / toxic_comments_project
Модель классификации токсичных комментариев с F1 0.7506 на основе CatBoost и TF-IDF. Использованы Python, Scikit-learn, NLTK, SMOTE.
Language:Pythonkheller18 / credit_risk_resampling
Machine learning app to identify credit risk
Language:Jupyter Notebook- ReSample
klitsunova / ReSample
A web application for balancing datasets.
Language:Python RicardoRobledo / PaymentCardFraudDetection2025
Comparative analysis of probabilistic classification models for credit card fraud detection, focusing on model calibration and threshold optimization in highly imbalanced datasets.
Language:Jupyter Notebookshawkymarya / Penguins-project
Data cleaning, preprocessing, and class balancing of the Palmer Penguins dataset using Python (pandas, seaborn, scikit-learn, imbalanced-learn). Includes handling missing values, outliers, encoding, visualization, and SMOTE.
Language:Jupyter Notebookthyphan2025 / Electric-Vehicle-Analysis
Electric Vehicle Analysis (Cleaning, Perform Exploratory Data Analysis and Apply Decision Tree Model in Python)
Language:Jupyter Notebook
