unbalanced-data

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Here are 82 public repositories matching this topic...

SNBQT / Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning

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This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

cwru few-shot unbalanced-data fault-diagnosis wdcnn

Updated Oct 10, 2022
Jupyter Notebook

Albertsr / Class-Imbalance

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

machine-learning class-imbalance data-augmentation imbalanced-data imbalanced-learning unbalanced-data cost-sensitive-learning sampling-weighting imbalanced-classification

Updated Dec 16, 2020
Python

evanotero / deep-music-genre-classification

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🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

deep-learning cnn music-information-retrieval lstm classification rnn spectrogram keras-tensorflow sequence-analysis mel-frequencies genre-classification unbalanced-data

Updated Dec 26, 2017
Python

tarun360 / Adversarial-Attack-on-3D-U-Net-model-Brain-Tumour-Segmentation.

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Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.

visualization machine-learning computer-vision deep-learning robust segmentation convolutional-neural-networks robustness enhancing u-net fgsm adversarial-attacks unbalanced-data dice-coefficient brain-tumor brain-tumor-segmentaiton brain-tumour fast-gradient-sign-attack carlini-wagner-attack

Updated Sep 20, 2023
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soroushjavdan / RandomBalanceBoost

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Implementation of Random Balance Algorithm

python machine-learning-algorithms jupyter-notebook unbalanced-data

Updated May 24, 2018
Jupyter Notebook

celestialtaha / Unbalanced-dataset-Classification

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Classification on Unbalanced Datasets using Boost Techniques (AdaBoost M2, SMOTE Boost, RusBoost,..)

machine-learning classification unbalanced-data rusboost smote-algorithm adaboost-classifier

Updated Jul 23, 2021
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SaeidRostami / Customer_Churn

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Customer churn analysis for a telecommunication company

python data-science machine-learning random-forest seaborn supervised-learning classification data-analysis logistic-regression matplotlib upsampling grid-search decision-tree svm-classifier feature-importance one-hot-encode ensemble-machine-learning unbalanced-data

Updated Oct 28, 2018
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rematchka / Intended-Sarcasm-Detection-In-English-and-Arabic-for-extremly-unbalanced-datasets

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This repo contains work carried out for SemEval 2022 Task 6: iSarcasmEval: Intended Sarcasm Detection In English and Arabic

emoji nlp machine-learning deep-learning tweets sentiment-analysis pytorch sampling feature-engineering cnn-model loss-functions loss sarcasm-detection sarcastic-tweets unbalanced-data irony-detection bert-models

Updated Jul 15, 2022
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AlouiAmine / anomaly_detection

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bayesian-methods xgboost multi-label-classification anomaly-detection unbalanced-data

Updated Jun 25, 2019
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Go-MinSeong / Predicting-whether-your-mail-will-be-read

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predicting whether you read mail

machine-learning time-series-classification unbalanced-data scikit-learn-python crwaling

Updated Jan 11, 2024
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jCodingStuff / NLPReddit

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Multinomial classification tasks in Reddit

machine-learning natural-language-processing reddit random-forest word2vec reddit-api classification bag-of-words praw support-vector-machine support-vector-machines multinomial oversampling pushshift multinomial-naive-bayes undersampling unbalanced-data praw-reddit

Updated May 28, 2019
HTML

wyuechuan / Focal-loss-and-balance-factor-for-classification

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Fault diagnosis using focus loss function based on balance factor (two-category)

pytorch classification unbalanced-data fault-diagnosis focus-loss-function balance-factor

Updated Aug 27, 2020
Python

SakinaJaffri / British_Airway_Virtual_Internship

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Web Scrapping British Airways review to gain company insights. Build a random forest model to predict customer buying behavior.

visualization python machine-learning scraping sentiment-polarity unbalanced-data

Updated Jun 14, 2024
Jupyter Notebook

kpratikin / Credit-Card-Fraud

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Identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. (Python, Logistic Regression Classifier, Unbalanced dataset).

boost cross-validation xgboost normalization smote fraud-detection oversampling undersampling ensemble-machine-learning unbalanced-data adaboost-algorithm

Updated Oct 14, 2019
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MaryemSamet / Parkinson-diagnostic

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Parkinson diagnostic with supervised and unsupervised machine learning

machine-learning timeseries feature-extraction classification similarity-measures unbalanced-data diagnostic-tool

Updated Mar 31, 2021
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aabritidutta / Creditcard-Fraud-Detection

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Predict if a transaction is a fraud transaction or not, also, dealing with unbalanced data and finding the pattern using correlation between the features.

classification oversampling undersampling gridsearchcv unbalanced-data oversampling-technique undersampling-technique