GitHub topics: class-imbalance

Repositories

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

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

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

sayakpaul/Breast-Cancer-Detection-using-Deep-Learning

Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images

Language: Jupyter Notebook - Size: 46.8 MB - Last synced at: 10 days ago - Pushed at: almost 6 years ago - Stars: 60 - Forks: 33

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

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

dangnh0611/kaggle_rsna_breast_cancer

1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection

Language: Python - Size: 83.4 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 86 - Forks: 28

bhattbhavesh91/imbalance_class_sklearn

Address imbalance classes in machine learning projects.

Language: Jupyter Notebook - Size: 40.2 MB - Last synced at: 22 days ago - Pushed at: almost 4 years ago - Stars: 36 - Forks: 38

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

haghish/shapley

Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles

Language: R - Size: 6.17 MB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 16 - Forks: 1

ZerojumpLine/ModelEvaluationUnderClassImbalance

[MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.

Language: Jupyter Notebook - Size: 939 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 12 - Forks: 1

josericodata/SyntheticDataGeneratorApp

Generate and download free synthetic datasets instantly! A Streamlit app with built-in statistical validation tools like Chi-Square and Mutual Information.

Language: Python - Size: 7.41 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ChaitanyaC22/Telecom-Churn-Prediction

In this project, data analytics is used to analyze customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn, and identify the main indicators of churn. The project focuses on a four-month window, wherein the first two months are the ‘good’ phase, the third month is the ‘action’ phase, while the fourth month is the ‘churn’ phase. The business objective is to predict the churn in the last i.e. fourth month using the data from the first three months.

Language: Jupyter Notebook - Size: 27.7 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 0

jaimyjoker/Churn-Modeling-Classification

This repository contains a Churn Classification model built using TensorFlow and an Artificial Neural Network (ANN) to predict customer churn. A Streamlit interface allows users to interact with the model and visualize predictions.

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SnehaDharne/OcularDiseaseRecognition

Fundus image analysis for ocular disease recognition using deep learning. This repository implements image preprocessing, MIRNet enhancement, and transfer learning with ResNet50 and VGG16 for classifying multiple eye diseases. Keras Tuner is used for hyperparameter optimization.

Language: Jupyter Notebook - Size: 29.9 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

frankkramer-lab/riadd.aucmedi

Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models

Language: Python - Size: 14 MB - Last synced at: 7 days ago - Pushed at: almost 3 years ago - Stars: 33 - Forks: 10

NeuralClassifier/Concept-Complexity-n-Imbalance-DL

Addressing Concept Complexity and Imbalance in Deep Learning for 2021 IEEE-BigData paper

Language: Python - Size: 61.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

NeuralClassifier/federated-artificial-resampling

This repository includes the code/data for manuscript, "Federated Artificial Resampling for Imbalanced Facial Emotion Recognition", published in IEEE Transactions on Affective Computing

Language: Python - Size: 156 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

NeuralClassifier/deep-imbalance-analysis

This repository includes the code for manuscript, "The Class Imbalance Problem in Deep Learning", published in Machine Learning journal, Springer

Language: Python - Size: 15.6 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

tgsmith61591/smrt

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Language: Python - Size: 81 MB - Last synced at: 27 days ago - Pushed at: almost 6 years ago - Stars: 126 - Forks: 26

AndreVale69/AD-ML-Imbalance-HPC

Machine learning models optimized for high-performance computing to address class imbalance in Alzheimer’s disease data.

Size: 2.93 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

MahindaMK/Multi-local-Power-means-based-fuzzy-k-nearest-neighbor-algorithm-MLPM-FKNN

MATLAB code for multi-local Power means-based fuzzy k-nearest neighbor (MLPM-FKNN) algorithm

Language: MATLAB - Size: 18.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

MahindaMK/Bonferroni-mean-fuzzy-k-nearest-neighbor-classifier-BM-FKNN-

MATLAB code for bonferroni-means fuzzy k nearest neighbor classifier (BM-FKNN)

Language: MATLAB - Size: 5.86 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 3

damianhorna/multi-imbalance

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

Language: Python - Size: 66 MB - Last synced at: 26 days ago - Pushed at: 12 months ago - Stars: 77 - Forks: 11

kshitij-raj/Melanoma-Skin-Cancer-Detection

Build a CNN based model which can accurately detect melanoma

Language: Jupyter Notebook - Size: 2.95 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 21 - Forks: 22

tigasgon1999/Agricultural-Pattern-Recognition

This project focuses on using the Semantic Segmentation Deep Learning architecture DeepLAbV3+ on the Agriculture-Vision dataset. We focus on improving the architecture's performance by solving the class imbalance problem present in the data.

Language: Jupyter Notebook - Size: 3.18 GB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 2

hase3b/Class-Imbalance-Classification-Performance-Analysis

This repository contains the code, documentation, and datasets for a comprehensive exploration of machine learning techniques to address class imbalance. The project investigates the impact of various methods, like ADASYN, KMeansSMOTE, and Deep Learning Generator, on classification performance while effectively demonstrating benefits of pipelining.

Language: Jupyter Notebook - Size: 6.88 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1

JuliaAI/Imbalance.jl

A Julia toolbox with resampling methods to correct for class imbalance.

Language: Julia - Size: 43.5 MB - Last synced at: 8 days ago - Pushed at: 7 months ago - Stars: 28 - Forks: 1

ai-se/Smote_tune

ICSE'18: Tuning Smote

Language: Python - Size: 46.9 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 11

Doch88/jBVQ

jBVQ: Bayes Vector Quantizer for Java

Language: Java - Size: 21.5 KB - Last synced at: 9 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

Ezgigunbatar/ToxicityDetection

Toxicity detection on imbalanced social media data. Focused on 2 main topics of toxicity detection: Class imbalance problem and detecting toxic comments.

Language: Jupyter Notebook - Size: 3.13 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

hugohiraoka/Plant_Seedlings_Images_Classification

A CNN model to identify images of plant seedlings.

Language: HTML - Size: 18.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

wfthi/LearningVectorQuantizationClassifier

The Learning vector quantization (LVQ) is a prototype-based supervised classification algorithm proposed by T. Kohonen.

Language: Python - Size: 195 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

xiaowuc2/VAE-Alzheimer-Detection-Using-Imbalanced-MRI-Images

Variational Autoencoder based Imbalanced Alzheimer detection using Brain MRI Images

Language: Jupyter Notebook - Size: 922 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

xmed-lab/DHC

MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation

Language: Python - Size: 4.35 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 45 - Forks: 0

ekellbuch/longtail_ensembles

Evaluating ensemble performance in long-tailed datasets (Neurips 2023 Heavy Tails Workshop)

Language: Python - Size: 1.58 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

prabhuvashwin/Data-Analysis-on-Hospital-Readmission-Data 📦

Analysis on hospital readmission data for diabetic patients using R and Tableau

Language: HTML - Size: 4.23 MB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 5 - Forks: 4

AnveshakR/Breast-Cancer-Prediction

Machine Learning Class Project - Spring '22: Breast Cancer Prediction from Mammograms using Autoencoders to solve class imbalance problem

Language: Python - Size: 1.67 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

Parita2442/Customer-Churn-Prediction

A predictive model to anticipate customer churn in telecom. Using supervised ML techniques, it identifies at-risk customers based on usage patterns and service plans. Proactively retaining customers, reducing attrition costs.

Size: 1.78 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Ninad077/Machine_Learning-Logistic_Regression

Content: Machine Learning, Logistic regression steps, Probability matrix, Confusion matrix, Accuracy score, Recall value, Data preprocessing, Label encoding, Scaling the data, Splitting train test data, Running Logistic Regression, Y prediction on test data, Class imbalance, Type 1 & Type 2 errors.

Language: Jupyter Notebook - Size: 898 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

kmalialis/augmented_queues

Augmented Queues (IEEE SSCI 2022)

Language: Python - Size: 18.5 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

kmalialis/actisiamese

ActiSiamese (Neurocomputing 2022)

Language: Python - Size: 1.11 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 3

kmalialis/queue_based_resampling

Queue-Based Resampling (QBR, ICANN 2018)

Language: Python - Size: 1.15 MB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 2

kmalialis/areba

Adaptive REBAlancing (AREBA, IEEE TNNLS 2021)

Language: Python - Size: 2.9 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

joosung-min/2024peak-bloom-prediction

Repo for 2024 peak cherry blossom prediction competition

Language: Jupyter Notebook - Size: 163 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

leiyunin/SMOTE-to-a-seriously-imbalanced-dataset

This homework leverages SMOTE for addressing class imbalance in a high-dimensional dataset, employing tree-based methods like random forest and XGBoost with model trees to enhance classification performance on the APS Failure at Scania Trucks dataset.

Language: Jupyter Notebook - Size: 21.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ajitsingh98/E-commerce-product-buyer-session-prediction

Predict whether customer purchase a product or not in a session

Language: Jupyter Notebook - Size: 48.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

ml-lab-sau/Discriminatory-Label-specific-Weights-for-Multi-label-Learning-with-Missing-Labels

To deal with the class imbalance problem in multi-label learning with missing labels, we propose Class Imbalance aware Missing labels Multi-label Learning, CIMML. Our proposed method handles class imbalance issue by constructing a label weight matrix with weight estimation guided by how frequently a label is present, absent, and unobserved.

Language: MATLAB - Size: 32.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

weijiaheng/Drops

[ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"

Language: Python - Size: 924 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 29 - Forks: 0

muhammadfhaider12/loan-default-prediction

The project predicts theprobability of loan default using various financial features of customer. I applied SMOTENN by combining SMOTE cand Edited Nearest Neighbor (ENN) to handle class imbalance. Logistic Regression, Random Forest and CATBOOST models have been apllied and evaluated based on accuray, F1 score, ROC-AUC score.

Language: Jupyter Notebook - Size: 948 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sbrodehl/remotesensing-14-03760

⛈️ Code for the paper "End-to-End Prediction of Lightning Events from Geostationary Satellite Images"

Language: Python - Size: 104 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 1

Non-NeutralZero/ionosphere

Play with ionosphere dataset

Language: Jupyter Notebook - Size: 636 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

bkrai/R-files-from-YouTube

R and Data Files from my YouTube Channel

Size: 1.84 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 24 - Forks: 106

yonatanko/Named-Entity-Recognition

Advanced NER Applications: Implementing KNN, Feed-Forward, and LSTM Models with Class Imbalance Reduction Techniques.

Language: Python - Size: 1.74 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

xjtushujun/meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

Language: Python - Size: 2.84 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 264 - Forks: 65

shivamverma26/Sentiment-Analysis-with-LSTM

This project harnesses the power of LSTM and Keras, with TensorFlow as the backend, to conduct sentiment analysis on IMDB movie reviews. It effectively categorizes the reviews into positive or negative sentiments, offering valuable insights into the world of text analysis.

Language: Jupyter Notebook - Size: 24.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shivamverma26/Credit_Card_Fraud_Detection

This project is dedicated to advanced machine learning techniques for credit card fraud detection, providing a solution to protect financial institutions and their clients by predicting and preventing fraudulent transactions in a highly imbalanced dataset.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

zl376/class_imb

Classification with imbalanced classes

Language: Jupyter Notebook - Size: 1.62 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

Albertsr/Class-Imbalance

Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.

Language: Python - Size: 6 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 96 - Forks: 25

atharvapathak/Telecom_Churn_Case_Study

Build a classification model for reducing the churn rate for a telecom company

Language: Jupyter Notebook - Size: 197 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

adataschultz/LoanApproval_LendingClub

Predict loan approval by using different variable selection methods

Language: Jupyter Notebook - Size: 511 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

jimitshah77/Focal-CTC-OMR

Focal CTC for End-To-End OMR task with Class Imbalance, SangCTC (Part I)

Language: Jupyter Notebook - Size: 2.28 MB - Last synced at: 28 days ago - Pushed at: almost 5 years ago - Stars: 22 - Forks: 8

AnonAuthorAI/duplebalance

DuBE: Duple-balanced Ensemble Learning from Skewed Data

Language: Python - Size: 1.66 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 4

deepakrameshgowda/CREDIT-CARD-FRAUD-DETECTION

Building predictive models to detect and prevent the fraudulent transactions happening on cerdit cards and debit cards. Implementation of 2nd factor authentication for safe and secure transactions.

Language: Jupyter Notebook - Size: 7.71 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

YyzHarry/SubpopBench

[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

Language: Python - Size: 222 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 45 - Forks: 5

ZerojumpLine/OverfittingUnderClassImbalance

[MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.

Language: Python - Size: 42 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 20 - Forks: 2

duyao-art/MixMatch-pytorch-customized-dataset Fork of YU1ut/MixMatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

Language: Python - Size: 62.5 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

sahidul-shaikh/credit-card-fraud-detection

Machine learning model for Credit Card fraud detection

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 37 - Forks: 32

michaelchiucw/SMOClust

The implementation of Synthetic Minority Oversampling based on stream Clustering (SMOClust)

Language: Java - Size: 83.3 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

miriamspsantos/pycol Fork of DiogoApostolo/pycol

The Python Class Overlap Libray (pycol) assembles a comprehensive set of complexity measures associated with the characterization of the Class Overlap problem.

Language: Python - Size: 1.83 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3

zurlog/MLDS_PR104

Machine Learning for Data Science Course Project

Language: Jupyter Notebook - Size: 24.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

kochlisGit/Advanced-ML

Advanced Machine Learning Algorithms including Cost-Sensitive Learning, Class Imbalances, Multi-Label Data, Multi-Instance Learning, Active Learning, Multi-Relational Data Mining, Interpretability in Python using Scikit-Learn.

Language: Jupyter Notebook - Size: 166 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2

oveilleux/Realistic_Transductive_Few_Shot

(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning

Language: Python - Size: 5.88 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 2

balanced-fl/Addressing-Class-Imbalance-FL

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

Language: Python - Size: 44.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 66 - Forks: 14

sahidul-shaikh/telecom-churn-case-study

Build a classification model for reducing the churn rate for a telecom company

Language: Jupyter Notebook - Size: 508 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 8

chebroluharika/credit-card-fraud-detection

Machine learning model for Credit Card fraud detection

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

med-air/TTADC

[MICCAI'22] Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

Language: Python - Size: 1.24 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 0

techthumb1/Credit-Card-Fraud-Detection-System

Application of Deep Neural Networks for Credit Card Fraud Detection System, using state-of-the-art techniques such as Autoencoders, Generative Adversarial Networks, and Convolutional Neural Networks.

Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

TzeLun/SMOTE

A minority oversampling method for imbalance data set

Language: Python - Size: 19.5 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

guilhermedom/customer-churn-logistic-regression

PySpark with logistic regression predicting if customers will exit a bank service.

Language: Jupyter Notebook - Size: 157 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Calvin-Aziszam-S/Bank-Telemarketing-Campaign-Analysis-and-Prediction

Predict whether customers of a bank will subscribe to a term deposit and analyze customer behaviour based on the bank's historical telemarketing campaign records.

Language: Jupyter Notebook - Size: 17.4 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ShkalikovOleh/SatelliteGAN

Enhacing classification accuracy for minority crop's classes via generating fake satellite image datasets with use of GANs

Language: Python - Size: 30.3 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

orestislampridis/africa_recession

Predicting whether an African country will be in recession or not with advanced machine learning techniques involving class imbalance, cost-sensitive learning and explainable machine learning

Language: Jupyter Notebook - Size: 6.89 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

jahongir7174/SeesawLoss

Seesaw Loss implementation using PyTorch

Language: Python - Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

Sayansurya/Project-on-Class-Imbalance-Problem

Language: Python - Size: 37.1 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

abhiram-ds/credit_card_fraud_detection

Credit Card Fraud detection based on anonymized data using multiple classification algorithms

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

archd3sai/Loan-Default-Prediction

In this project I applied various classification models such as Logistic Regression, Random Forest and LightGBM to accurately detect and classify consumers who will default the loan. SMOTE technique is used to combat class imbalance and LightGBM is implemented that resulted into the highest accuracy 98.89% and 0.99 F1 Score.

Language: Jupyter Notebook - Size: 419 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0