A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
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Jan 3, 2024 - Jupyter Notebook
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oversampling
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🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders
python training machine-learning validation deep-learning test splitting dataset python-package oversampling
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Mar 8, 2023 - Python
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
nlp data-science machine-learning statistics computer-vision random-forest data-visualization recommendation-system logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier knearest-neighbor-algorithm oversampling supervised-machine-learning unsupervised-machine-learning catboost ensemble-machine-learning machinelearningprojects datascienceproject
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Aug 23, 2021 - Jupyter Notebook
🎲 Iterable dataset resampling in PyTorch
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Dec 15, 2021 - Python
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
python machine-learning decomposition balancing resampling preprocessing decision-trees class-imbalance ensembles python-package smote oversampling bagging undersampling multi-class-imbalance
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May 17, 2024 - Python
Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances
imbalance-correction decision-tree-classifier keras-tensorflow smote fraud-detection oversampling random-forest-classifier perceptron-neural-networks imbalanced-classes
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Oct 19, 2020 - Jupyter Notebook
📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python
weather finance data-science machine-learning statistics climate dependency-analysis xarray data-generation data-generator copula principal-component-analysis data-augmentation augmentation oversampling synthetic-data fpca data-modelling dependency-modeling functional-data
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Sep 28, 2023 - Python
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
localization deep-learning cnn transfer-learning vgg16 imbalanced-data oversampling fine-tuning gradcam pneumonia radiographs early-stopping pytorch-implementation resnet18 densenet121 xrays covid-19
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May 15, 2021 - Jupyter Notebook
A library for audio oversampling, which tries to offer a simple api while wrapping HIIR, by Laurent De Soras, for minimum phase antialiasing, and r8brain-free-src, by Aleksey Vaneev, for linear phase antialiasing.
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Dec 10, 2021 - C++
Synthetic Minority Over-sampling Technique
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Mar 27, 2017 - Python
Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
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Aug 15, 2018 - Python
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Dec 17, 2019 - R
Implementation of novel oversampling algorithms.
python data-science machine-learning scikit-learn smote oversampling imbalanced-learning kmeans-smote geometric-smote g-somo clustering-based-oversampling
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Feb 5, 2025 - Python
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
machine-learning exploratory-data-analysis pca-analysis logistic-regression decision-trees svm-classifier smote oversampling undersampling random-forest-classifier gridsearchcv uci-dataset oversampling-technique
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Oct 27, 2023 - HTML
Multi-purpose data analysis framework based on Bayesian networks and Causal models
time-series tabular-data feature-selection feature-extraction outlier-detection bayesian-networks oversampling causal-models concept-analysis
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May 24, 2025 - Python
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn and TensorFlow-Keras
python data-science machine-learning linear-regression exploratory-data-analysis cross-validation data-visualization supervised-learning xgboost logistic-regression regularization decision-trees predictive-modeling ridge-regression support-vector-machines elastic-net oversampling lasso-regression random-forests k-nearest-neighbors
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Jul 5, 2024 - Jupyter Notebook
A python library for repurposing traditional classification-based resampling techniques for regression tasks
machine-learning regression classification resampling smote oversampling undersampling regression-task
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Aug 7, 2020 - Jupyter Notebook
SOUL: Scala Oversampling and Undersampling Library.
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Apr 11, 2019 - Scala
Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.
machine-learning eda feature-selection feature-extraction cybersecurity phishing-attacks smote oversampling f1-score lazy-classifier voting-classifier phishing-detection phishing-urls true-positive-rate true-negative-rate stacking-classifier
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Jan 12, 2024 - Jupyter Notebook
Many algorithms for imbalanced data support binary and multiclass classification only. This approach is made for mulit-label classification (aka multi-target classification). 🌻
upsampling imbalanced-data oversampling imbalanced-classification oversampling-technique oversampling-algorithms
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Jun 2, 2024 - Python
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