This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
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Oct 10, 2022 - Jupyter Notebook
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unbalanced-data
Here are 86 public repositories matching this topic...
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
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Dec 16, 2020 - Python
[Likelihood Lab Project 2024] Official Repository for The Technical Report, Label Unbalance in High-frequency Trading
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Mar 20, 2025 - Python
🎵 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
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Dec 26, 2017 - Python
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
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Oct 14, 2019 - Jupyter Notebook
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
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Oct 28, 2018 - Jupyter Notebook
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
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Sep 20, 2023 - Jupyter Notebook
To solve two main issues in credit card fraud detection - skewness of the data and cost-sensitivity
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Jul 18, 2018 - Jupyter Notebook
Implementation of Random Balance Algorithm
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May 24, 2018 - Jupyter Notebook
Insurance reports through deep neural networks
python natural-language-processing deep-neural-networks insurance paper text-analysis convolutional-neural-networks long-short-term-memory-models insurance-claims unbalanced-data insurance-reports automatic-analysis
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Oct 10, 2021 - Python
Demo on using Facets: An Open Source Visualization Tool for Machine Learning Training Data developed by Google's PAIR Initiative
visualization python open-source anaconda jupyter-notebook visualisation data-visualization data-analysis missing-data facets skewness unbalanced-data
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Dec 10, 2017 - Jupyter Notebook
It's a classification model that predict whether an individual will suffer from autism in future or not
machine-learning random-forest test accuracy balancing smote unbalanced-data smoteenn-combination unbalancedclassificationdata
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Dec 22, 2022 - Jupyter Notebook
Classify default borrowers from initial loan application for Lending Club
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Mar 2, 2021 - Jupyter Notebook
Credit card fraud detection with CNN genetic algorithm and SVM
python balance genetic-algorithm keras-tensorflow fraud-detection cnn-classification gridsearchcv unbalanced-data
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Feb 5, 2024 - Jupyter Notebook
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
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Jul 15, 2022 - Jupyter Notebook
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
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May 28, 2019 - HTML
Deep learning solution for Cassava Leaf Disease Classification, a Kaggle's Research Code Competition using Tensorflow.
cross-validation kaggle kaggle-competition image-classification data-augmentation kaggle-dataset tpu mixup unbalanced-data tensorflow-pipeline mixed-precision xla tensorflow2 cutmix albumentations cassava-leaf-classifcation fmix
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Apr 23, 2021 - Jupyter Notebook
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.
python machine-learning scikit-learn smote unbalanced-data balanced-random-forest smoteenn imbalanced-learn easy-ensemble-classifier
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May 17, 2021 - Jupyter Notebook
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Jun 25, 2019 - Jupyter Notebook
Predicting Machine failure using Machine learning on a synthetic dataset of an existing milling machine consisting of 10,000 data points
machine-learning big-data spark neural-network clustering classification decision-tree svm-classifier spark-sql unbalanced-data pyspark-mllib machine-failure
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Mar 10, 2024 - Jupyter Notebook
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