YyzHarry/imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

Language: Python - Size: 9.21 MB - Last synced at: 1 day ago - Pushed at: about 3 years ago - Stars: 868 - Forks: 137

abdumalikh44/Money-Laundering-Detecting-Dashboard

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ZhiningLiu1998/awesome-imbalanced-learning

😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

Size: 213 KB - Last synced at: 3 days ago - Pushed at: 2 months ago - Stars: 1,437 - Forks: 228

MusadiqPasha/Imbalance-Learning

To tackle imbalanced classification in fake job detection dataset using various resampling techniques and model evaluations.

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ufoym/imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Language: Python - Size: 181 KB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 2,301 - Forks: 265

jrzaurin/LightGBM-with-Focal-Loss

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

Language: Python - Size: 24.4 KB - Last synced at: 3 days ago - Pushed at: over 5 years ago - Stars: 253 - Forks: 40

Mryadav02/Credit_score_prediction

Watch me build a website which can predict the credit score , based on inputs given

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abhishek010314/credit-card-fraud-detection

ML-based system to detect fraudulent credit card transactions with cost-benefit analysis.

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ZhiningLiu1998/imbalanced-ensemble

🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

Language: Python - Size: 16.8 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 358 - Forks: 52

jiequancui/ResLT

ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)

Language: Python - Size: 12.9 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 60 - Forks: 5

zuzann18/Loan_default

End-to-end machine learning project for predicting loan defaults on the HMEQ home equity loan dataset. Includes data preprocessing, EDA, feature engineering, model training (Logistic Regression, Random Forest, XGBoost), hyperparameter tuning, model comparison, SHAP-based interpretability, and business recommendations.

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Amirreza81/Applied-Data-Science-Course

Comprehensive notes, practical exercises, and problem-solving solutions from the Applied Data Science course, covering data preprocessing, machine learning algorithms, statistical analysis, data visualization, and real-world applications.

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dvlab-research/Parametric-Contrastive-Learning

Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

Language: Python - Size: 18.4 MB - Last synced at: 2 days ago - Pushed at: 8 months ago - Stars: 251 - Forks: 32

YyzHarry/multi-domain-imbalance

[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

Language: Python - Size: 8.11 MB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 135 - Forks: 15

pravin-nawghare/Customer-Churn-Prediction

A machine learning project to predict customer churn for a telecom company. It automates the entire workflow from data ingestion to model deployment, with a web app for real time predictions.

Language: Jupyter Notebook - Size: 453 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

amneh992/Loan-Default-Prediction

A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University.

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ZhiningLiu1998/BAT

[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类

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Sugaharaa/fraud-detection

Detecção de fraudes em transações financeiras

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YyzHarry/imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

Language: Python - Size: 16.5 MB - Last synced at: 2 days ago - Pushed at: about 4 years ago - Stars: 751 - Forks: 117

sergio11/online_payment_fraud

Fraud detection using Deep Neural Networks to predict fraudulent transactions in financial data. 🚨🤖 Complete process from EDA and data preprocessing to model training and evaluation. 📊🔍

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soumikdt/ML1

Machine Learning-based fraud detection using Vesta financial transaction data with Logistic Regression, Random Forest, and XGBoost models.

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dennismgoetz/DAC

"Data Analytics Challenge" course at the Catholic University of Eichstätt-Ingolstadt

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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 - Size: 1.44 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 258 - Forks: 50

RoryQo/A-Dual-Approach-to-Modeling-Wine-Quality-Through-Chemical-Composition

A dual-model approach to classifying wine quality from chemical attributes. Prioritizes recall, interpretability, and robustness with GLM, XGBoost, SHAP, and SMOTE.

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

awojna/Rseslib

Data structures, algorithms and tools for rough sets, machine learning and data mining, including algorithms for discernibility matrix, reducts, decision rules, classification (KNN, NeuralNet, AQ15, RoughSet, RIONIDA, SVM, C4.5, and many others), discretization (1R, EntropyMinimization, ChiMerge, MD), and tool for explainable and interactive ML.

Language: Java - Size: 1.72 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 16 - Forks: 5

YijinHuang/pytorch-classification

A general, feasible, and extensible framework for classification tasks.

Language: Python - Size: 109 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 62 - Forks: 20

lognjen/StrokePrediction

A machine learning model to predict stroke risk based on health metrics

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jishnukoliyadan/Predicting-the-Success-of-Bank-telemarketing

This project is a part of Machine Learning Practice course offered by IIT Madras.

Language: Jupyter Notebook - Size: 6.64 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

analyticalmindsltd/smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

Language: Jupyter Notebook - Size: 70.7 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 657 - Forks: 142

sushant1827/Machine-Learning-for-Predictive-Maintenance

Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.

Language: Jupyter Notebook - Size: 1.67 MB - Last synced at: 29 days ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

BorealisAI/ranksim-imbalanced-regression

[ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression

Language: Python - Size: 3.78 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 49 - Forks: 10

solegalli/machine-learning-imbalanced-data

Code repository for the online course Machine Learning with Imbalanced Data

Language: Jupyter Notebook - Size: 22 MB - Last synced at: 29 days ago - Pushed at: 5 months ago - Stars: 175 - Forks: 216

Macdon112/Credit-Card-Fraud-Detection

Comparing ML models (Random Forest, KNN, Decision Tree) for credit card fraud detection using SMOTE and stratified cross-validation.

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Pegah-Ardehkhani/Customer-Churn-Prediction-and-Analysis

Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library

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louis-alexandre-laguet/Rain-Prediction-DL-ML

This project aims to predict rainfall using machine learning and deep learning models. It includes data analysis, preprocessing, and the application of algorithms like Logistic Regression, SVM, Random Forest, and deep learning models like LSTM for the Kaggle Rain Prediction Challenge.

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30lm32/ml-projects

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Size: 65.8 MB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 273 - Forks: 108

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

Language: Jupyter Notebook - Size: 1.62 MB - Last synced at: 29 days ago - Pushed at: 11 months ago - Stars: 106 - Forks: 26

dialnd/imbalanced-algorithms

Python-based implementations of algorithms for learning on imbalanced data.

Language: Python - Size: 28 MB - Last synced at: 29 days ago - Pushed at: over 3 years ago - Stars: 238 - Forks: 67

Daniil-Horobets/Credit-Card-Approval-Prediction-100

Credit Card Approval Prediction 100%. This Credit Risk Classification Model predicts whether a loan applicant is "good" or "bad" using a stacking ensemble of Random Forest, XGBoost, and CatBoost with logistic regression. It handles imbalanced data with SMOTE and extracts key financial insights through feature engineering.

Language: Jupyter Notebook - Size: 5.77 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AryanPillai2007/Credit-Card-Fraud-Detection

The primary goal of this project is to develop a comprehensive fraud detection system that enhances the security and trustworthiness of financial transactions.

Language: Python - Size: 2.22 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

NightlordTW/msc-thesis-imbalanced-data

Language: TeX - Size: 709 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

gss-18/Fraud-Detection

🚀 Credit Card Fraud Detection using Machine Learning & XGBoost. Evaluating models on an imbalanced dataset, using SMOTE, ROC-AUC analysis, and finding the best fraud detection approach. 📊🔍

Language: Jupyter Notebook - Size: 152 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

priyavrat-misra/xrays-and-gradcam

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

Language: Jupyter Notebook - Size: 3.89 MB - Last synced at: 27 days ago - Pushed at: almost 4 years ago - Stars: 52 - Forks: 18

otuemre/FraudDetectAI

FraudDetectAI is an advanced credit card fraud detection system built with XGBoost and Hybrid SMOTE Sampling (Oversampling + Undersampling). This project tackles highly imbalanced datasets, ensuring strong fraud detection accuracy while minimizing overfitting risks.

Language: Jupyter Notebook - Size: 5.4 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

XYGaoG/SNS

CIKM'23 paper: Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks

Language: Python - Size: 788 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 6 - Forks: 2

astroarth/AI_use_cases

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

BatthulaVinay/phone-usage-analysis

This project analyzes phone usage patterns in India and predicts the primary use of mobile devices based on various features. The notebook covers data preprocessing, exploratory data analysis (EDA), and model training using multiple classification algorithms.

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

tjut3L/Class-Incremental-Learning-Imbalanced-Data-Streams

Language: Python - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

andylee40/aoi_defect_detection

AOI 瑕疵分類

Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

tgsmith61591/skoot

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

Language: Python - Size: 10.4 MB - Last synced at: 28 days ago - Pushed at: almost 4 years ago - Stars: 57 - Forks: 11

ruoheng-du/applied-machine-learning

Applied Machine Learning | Fall 2024

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MohamedLotfy989/Credit-Card-Fraud-Detection

This repository focuses on credit card fraud detection using machine learning models, addressing class imbalance with SMOTE & undersampling, and optimizing performance via Grid Search & RandomizedSearchCV. It explores Logistic Regression, Random Forest, Voting Classifier, and XGBoost. balancing precision-recall trade-offs for fraud detection.

Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Abdelrahman-Amen/Active_Learning_using_Imbalanced_Dataset

This project explores active learning techniques, focusing on query strategies to optimize informative data selection for model training. It aims to reduce labeled data while improving model performance, especially with imbalanced datasets where certain classes are underrepresented.

Language: Jupyter Notebook - Size: 809 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

karthik-d/few-shot-dermoscopic-image-analysis

Skin lesion image analysis that draws on meta-learning to improve performance in the low data and imbalanced data regimes.

Language: Python - Size: 738 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 2

juliuszlosinski/Imbalanced-Data-Problem-for-Image-Detection-One-Stage-Detectors

Implementation of augmentation, SMOTE, ADASYN, AE, DGAN for oversampling image data used in detection (YOLO and others one stage detectors). Maritime flags/code scenario.

Language: Python - Size: 2.76 GB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

LirongWu/GraphMixup

Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"

Language: Python - Size: 30.9 MB - Last synced at: 27 days ago - Pushed at: almost 2 years ago - Stars: 23 - Forks: 6

Parmod2310/Credit-Card-Fraud-Detection

Credit card fraud detection using machine learning with a focus on imbalanced data and high accuracy.

Language: Jupyter Notebook - Size: 6.26 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

reza-chehreghani/AI-Assignment-1-Optimization-SMOTE-DNN

Exploring Optimizers, Handling Imbalanced Datasets with SMOTE, and Building Classification Models Using Deep Neural Networks.

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sushant1827/Credit-Card-Fraud-Detection

Demonstrates the use of ML for Anomaly Detection for Credit Card Transactions: Identifying Fraudulent Activity using Imbalanced Data

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 29 days ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

predict-idlab/HeadacheDSS

Repository containing all code and data required to reproduce the experiments of 'A decision support system to follow up and diagnose chronic primary headache patients using semantically enriched data'

Language: Python - Size: 233 KB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 5

juliuszlosinski/Imbalanced-Data-Problem-for-Image-Detection-Two-Stage-Detectors

Imbalanced data problem image/maritime flags detection. Balancing by using SMOTE, ADASYN, Augmentation, Autoencoder and DGAN. Detection by using two-stage dectetors like: R-CNN, Faster R-CNN and Mask R-CNN.

Language: Python - Size: 316 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

LegallyNotBlonde/credit-risk-classification

Built a Logistic Regression model to predict loan risk, focusing on credit risk management with precision, recall, and F1-score evaluation

Language: Jupyter Notebook - Size: 610 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Oyebamiji-Micheal/Employee-Status-Prediction-Web-App

A machine learning web app which predicts whether an employee gets promoted or not

Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

CyprianFusi/FraudDetectionModel-with-Gretl

With this model: the amount of backlog would be reduced significantly, the amount of staff needed to do the job would be reduced drastically, the processing time would be shortened significantly and more cases of fraudulent transactions would be tracked down in a given amount of data processed - more than 40% increase in efficiency!

Language: Jupyter Notebook - Size: 3.3 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

OmidGhadami95/EfficientNetV2_CatVSDog

Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

OmidGhadami95/metaphor-detection-cnn-lstm

Metaphor detection using cnn lstm

Language: Jupyter Notebook - Size: 160 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

muhammedhossam/Pneumonia-Detection-

A deep learning-based project for classifying chest X-ray images to detect pneumonia

Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1

zahiriddin-rustamov/gat-rwos

A graph attention-guided oversampling method for imbalanced data classification using GAT and random walks.

Language: Python - Size: 622 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

B0R0koko/pumps_and_dumps

Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

thimyxuan/spam-messages-detector

A spam message detector

Language: Jupyter Notebook - Size: 3.74 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

kyosek/Probability-Calibration-Imbalanced

This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.

Language: Python - Size: 310 KB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 13 - Forks: 4

sergi-s/Credit-Card-fraud-detection

Detect fraudulent credit card transactions using machine learning models and compare their performance. This project explores various techniques, including SMOTE, to handle imbalanced data and enhance detection accuracy.

Language: Jupyter Notebook - Size: 67.6 MB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

kayakalison/data-imbalance-dp

Exploring the impact of data imbalance on ε-Differential Privacy using diffprivlib.

Language: Jupyter Notebook - Size: 62 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

zohrabgulushev/Data-Science-Project

Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

GH920/improved-bagan-gp

Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.

Language: Python - Size: 342 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 36 - Forks: 9

danaiamirali/reuters-text-classification

Applying Transformer-based models to the imbalanced multi-label Reuters News Dataset text classification task.

Language: Python - Size: 229 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

tmfreiberg/road-safety

Classification of traffic accident severity in Quebec

Language: Jupyter Notebook - Size: 48.2 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Sharvari289/Deep-Learning-models-for-Imbalanced-Time-Series-Clinical-dataset

Deep Learning models aimed at improving performance on imbalanced time-series clinical data. The project explores data augmentation techniques and model optimization to enhance classification results in challenging imbalanced datasets.

Size: 1.67 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ncordon/imbalance

Language: R - Size: 6.55 MB - Last synced at: 28 days ago - Pushed at: over 5 years ago - Stars: 36 - Forks: 5

rubyyy1118/NLP_SPAM_Detection_and_Text_Generation

The Natural Language Analysis - Assignment in my MSc Business Analytics course

Language: Jupyter Notebook - Size: 684 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

hugoarsa/TFG

The implementation of the UPC published Bachelor's Thesis of Hugo Aranda titled "Deep Learning Study for Pulmonary Illness Diagnosis"

Language: Python - Size: 1.29 GB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

predict-idlab/TPEHGDB-Experiments

Experiments conducted on the TPEHGDB dataset to reproduce the reported results from "A critical look at studies applying over-sampling on the TPEHGDB dataset"

Language: Python - Size: 168 MB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 2

dylanperdigao/Taxonomy-for-Minority-Classes

Classification of minority class examples in Python with Heterogeneous Value Difference Metric (HVDM)

Language: Jupyter Notebook - Size: 228 KB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

nickkunz/smogn

Synthetic Minority Over-Sampling Technique for Regression

Language: Python - Size: 730 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 308 - Forks: 76

TheMrityunjayPathak/FeatureEngineering

Feature Engineering with Python

Language: Jupyter Notebook - Size: 473 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

JiaxinZhuang/Skin-Lesion-Recognition.Pytorch

Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3

Language: Python - Size: 809 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 46 - Forks: 9

0zean/hellingerforest

A Python library built in Rust for implementing the Hellinger distance splitting criteria in a Random Forest Classifier to address imbalanced data. Work in progress.

Language: Rust - Size: 11.7 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

pratham-jaiswal/intrusion-detection-ml-dl

Intrusion Detection of Imbalanced Network Traffic using Machine Learning and Deep Learning

Language: Jupyter Notebook - Size: 216 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

rhsbd/Credit-Card-Fraud-Detection-on-Imbalanced-Data-Using-Machine-Learning

A Jupyter notebook that applies machine learning techniques to detect credit card fraud on imbalanced data. It covers data preprocessing, EDA, handling class imbalance, training classifiers (Logistic Regression, Decision Tree, RandomForest), and saving the trained models.

Language: Jupyter Notebook - Size: 5.18 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

sajadamouei/classification-metabolomics

Implementation of a comparative analysis to find the best ML model for classifying dry eye disease from healthy controls using metabolomics datasets.

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

aysecnkci/banking-risk-analysis-imbalanced-data

The project focuses on handling imbalanced data using techniques like RandomUnderSampler and TomekLinks, while exploring various models such as CART, Random Forest, GBM, and LightGBM. The BalancedRandomClassifier, optimized through hyperparameter tuning, achieved an 80% recall on high-risk customers with an accuracy of 74%.

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

hphuongdhsp/Segmentation-Tutorial

Source code for the Segmentation Tutorial

Language: Python - Size: 4.76 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 0

swordspoet/UCI_imbalanced_data

The machine learning project on UCI imbalanced data.

Language: R - Size: 138 KB - Last synced at: 9 months ago - Pushed at: about 8 years ago - Stars: 7 - Forks: 4

behnamy2010/Credit-Card-Fruad-Detection

Credit Card Fraud Detection

Language: Jupyter Notebook - Size: 43.4 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

renee127/classifying_churn

Data Analysis Project (03/2022): Final project for Practicum by Yandex Data Science Bootcamp. This project uses machine learning techniques to develop a predictive model of customer churn with AUC-ROC > 0.92.

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Yonas650/ML-Models-for-Mutation-Impact-analysis

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saranya-ponnarasu/Predictive_Lead_Scoring_for_Edtech

Predicting lead conversion rates using a Logistic Regression model for an EdTech company.

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sachinML/Churn-Prediction-Web-Application-using-Deep-Learning

End to End Deep learning based Project to predict whether the customer will churn or not.

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antorguez95/synthetic_data_generation_framework

This repository contains the code of our published work in IEEE JBHI. Our main objective was to demonstrate the feasibility of the use of synthetic data to effectively train Machine Learning algorithms, prooving that it benefits classification performance most of the times.

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GenTaylor/Traffic-Accident-Analysis

Traffic Accident Analysis using python machine learning

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