A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
-
Updated
Jan 3, 2024 - Jupyter Notebook
#
smote
Here are 602 public repositories matching this topic...
Synthetic Minority Over-Sampling Technique for Regression
-
Updated
Feb 7, 2024 - Python
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
machine-learning tensorflow neural-networks autoencoder vae class-imbalance smote variational-autoencoder
-
Updated
Jul 31, 2019 - 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
-
Updated
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
-
Updated
Oct 19, 2020 - Jupyter Notebook
Bank customers churn dashboard with predictions from several machine learning models.
python flask scikit-learn matploblib pipelines pandas seaborn jupyter-notebooks keras-tensorflow smote gridsearchcv html-css-bootstrap imbalanced-learn
-
Updated
Jul 18, 2023 - Jupyter Notebook
A repository of resources for understanding the concepts of machine learning/deep learning.
machine-learning clustering dimensionality-reduction preprocessing imbalanced-data smote boosting f1-score supervised-machine-learning unsupervised-machine-learning bagging knn-classification summer-school iiith seaborn-plots datacamp-projects datacamp-machine-learning critical-concepts
-
Updated
Jul 24, 2021 - Jupyter Notebook
Synthetic Minority Over-sampling Technique
-
Updated
Mar 27, 2017 - Python
spark tutorial for big data mining。包括app流量运营分析、als推荐、smote样本采样、RFM客户价值分群、AHP层次分析客户价值得分、手机定位数据商圈挖掘、马尔可夫智能邮件预测、时序预测、关联规则、推荐电影好友等。
-
Updated
Sep 10, 2022 - Java
Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
-
Updated
Aug 15, 2018 - Python
A fraud detection project that processes user or credit card data using machine learning and deep learning algorithms.
machine-learning deep-learning smote fraud-detection adasyn random-over-sampling random-under-sampling
-
Updated
Feb 25, 2024 - Jupyter Notebook
Address imbalance classes in machine learning projects.
-
Updated
May 29, 2021 - Jupyter Notebook
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
-
Updated
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
-
Updated
Oct 27, 2023 - HTML
Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.
python json scikit-learn jupyter-notebook fintech openai naive-bayes-classifier niche html-css-javascript decision-tree-classifier svm-classifier smote emailjs random-forest-classifier streamlit xgboost-classifier pickle-file supabase pillow-library qwen3-32b
-
Updated
Sep 14, 2025 - Jupyter Notebook
A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.
machine-learning data-visualization feature-selection performance-metrics feature-extraction forecasts pipelining flights airports data-cleaning smote correlation-coefficient pre-processing auc-roc-curve imbalanced-classes two-stage feature-ranking flight-delay-prediction smote-oversampler random-under-sampling
-
Updated
Jan 10, 2024 - Jupyter Notebook
Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn
python sklearn convex-hull matplotlib standardization principal-component-analysis normalization smote linear-separability kdd99 one-hot-encode resampling-methods cluster-centroids
-
Updated
Mar 11, 2020 - Jupyter Notebook
Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets
nlp classifier computer-vision embeddings kaggle jokes transfer-learning recommender-systems movie-reviews fastai smote collab colab-notebook google-colab-notebook colab-fastai computer-vision-datasets
-
Updated
Apr 20, 2025 - Jupyter Notebook
Approx-SMOTE: fast SMOTE for Big Data on Apache Spark
-
Updated
Apr 27, 2022 - Scala
Improve this page
Add a description, image, and links to the smote topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the smote topic, visit your repo's landing page and select "manage topics."