An implementation of Isolation forest
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Jul 29, 2021 - R
#
isolation-forest
Here are 9 public repositories matching this topic...
Extended Isolation Forests for Anomaly/Outlier Detection in R
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Oct 25, 2021 - R
Purely presence-only species distribution modeling with isolation forest and its variations such as Extended isolation forest and SCiForest.
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Jul 1, 2025 - R
RNA-seq data auditing using unsupervised machine learning
bioinformatics rna-seq pca gtex umap anomaly-detection unsupervised-machine-learning isolation-forest
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Feb 1, 2026 - R
Machine learning project conducted together with Volvo Cars
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Aug 25, 2022 - R
Graduate-level projects in unsupervised machine learning, including PCA, clustering, dimensionality reduction, anomaly detection, association rule mining, and autoencoders implemented in R.
data-science machine-learning r clustering data-visualization pca dimensionality-reduction unsupervised-learning autoencoders dbscan anomaly-detection isolation-forest tidymodels
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May 31, 2026 - R
This repository contains code for building a random forest model to predict the prognosis of breast cancer patients.
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Oct 20, 2024 - R
Projeto acadêmico simulando aplicação real em monitoramento de transações. Implementação de técnicas estatísticas e machine learning para identificar padrões incomuns.
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Mar 10, 2026 - R
End-to-end BNPL credit risk modeling project using R. Includes EDA, feature engineering, regression and classification models, clustering, and anomaly detection. Random Forest achieved best performance (AUC 0.768), highlighting effective prediction of default risk and customer segmentation insights.
machine-learning r neural-network shiny random-forest clustering svm exploratory-data-analysis fintech classification logistic-regression caret kmeans feature-engineering credit-scoring dbscan anomaly-detection isolation-forest roc-auc credit-risk
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Jul 16, 2026 - R
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