This repository contains files and information about step 3 of Kaphta Architecture: Indexing of Extracted Information, using the R language.
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Updated
Jan 29, 2021 - R
This repository contains files and information about step 3 of Kaphta Architecture: Indexing of Extracted Information, using the R language.
Ensemble/Blender example in R using Caret (companion code for YouTube video: https://www.youtube.com/watch?v=k7sTiTWWCXM)
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
Replication for: Irregular Leadership Changes in 2014: Forecasts using ensemble, split-population duration models, International Journal of Forecasting
[SIGE-MII-UGR-2016-17] Competición en Kaggle: Titanic
CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range of climate research and user needs
Regular S3 model fitting function and methods for EBMAforecast
This repository contains files and information about step 1 of Kaphta Architecture: Text classification of PubMed abstracts on anticancer activity, using the R language.
Snakemake pipeline to reproduce the results in the forthcoming paper "One week ahead prediction of harmful algal blooms in Iowa lakes"
Machine Learning competition on Kaggle.org: Random Forest algorithm and ensemble of algorithms to predict Titanic survivors. Top 8% rank
R Package to process and verify wind forecasts from weather models
Multi-view hierarchical clustering in R
Functional Enrichment Analysis and Network Construction
autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners
subsemble R package for ensemble learning on subsets of data
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
R package - Dynamic Ensembles for Time Series Forecasting
Time Series Ensemble Forecasting
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