unsupervised-learning

Here are 108 public repositories matching this topic...

AdrianAntico / AutoQuant

Automation framework for machine learning, forecasting, model evaluation, and interpretation.

r timeseries h2o regression supervised-learning xgboost classification gpu-acceleration lightgbm unsupervised-learning automl panel-data multiclass-classification automated-machine-learning catboost

Updated Dec 9, 2025
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hlennon / LCTMtools

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Latent Class Trajectory Models: An R Package

r statistics software-development longitudinal-data vignette unsupervised-learning growth-curves cluster-analysis statistical-models trajectories latent-class trajectory-models

Updated Dec 1, 2022
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TrainingByPackt / Applied-Unsupervised-Learning-with-R

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Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA

clustering market-segmentation unsupervised-learning clustering-methods

Updated Jun 3, 2019
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vzhomeexperiments / detect-anomaly

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Repository for Udemy Course: Identify problems with Artificial Intelligence

deep-neural-networks deep-learning h2o pattern-recognition kmeans problem-solving shiny-apps unsupervised-learning anomalydetection shinydashboard kmeans-clustering h2oai udemy-tutorial anomaly-detection udemy-machine-learning industry-4 udemycourse

Updated Oct 12, 2020
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dlab-berkeley / Unsupervised-Learning-in-R

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Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

clustering dimensionality-reduction unsupervised-learning umap hdbscan isolation-forests glrm latent-class-analysis

Updated Jun 8, 2020
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ShariqAhmed007 / MLmatchmaking

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Using Machine Learning to find people with similar personalities & interest for matchmaking

machine-learning r-language unsupervised-learning principal-component-analysis kmeans-clustering hierarchical-clustering agglomerative-clustering

Updated Sep 4, 2020
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Core-Bioinformatics / ClustAssess

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Tools for assessing clustering robustness

machine-learning bioinformatics genomics clustering unsupervised-learning single-cell robustness parameter-optimization

Updated Dec 15, 2025
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PetoLau / UnsupervisedEnsembles

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Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.

machine-learning data-mining r time-series clustering ensemble-learning unsupervised-learning unsupervised-learning-algorithms cluster-analysis unsupervised-machine-learning time-series-clustering time-series-forecast time-series-forecasting unsupervised-ensemble-learning

Updated Nov 19, 2018
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fdavidcl / ruta

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Unsupervised Deep Architechtures in R

r deep-neural-networks deep-learning unsupervised-learning autoencoders

Updated Jul 2, 2023
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haddadz / -vancvouredatajam2021-advancedRworkshop

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Vancouver Datajam 2021 R Workshop special topic Machine Learning

data-science machine-learning r unsupervised-learning

Updated Sep 19, 2021
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bixBeta / DESeq2-shiny

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A shiny application to perform differential gene expression analysis of count data using DESeq2. The app also allows unsupervised exploration of data using PCA and hierarchical clustering.