Parsing, Manipulation, and Visualization of Metabarcoding/Taxonomic data
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Feb 20, 2024 - R
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trees
Here are 19 public repositories matching this topic...
Calculate distances between phylogenetic trees in R
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Dec 16, 2024 - R
Here we produced an individual tree dataset including tree locations, height, crown area, crown volume, and biomass over the entire New York City, USA for 6,005,690 trees. Individual trees were detected and mapped from remotely sensed datasets along with their height and crown size information.
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Jan 28, 2023 - R
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Apr 6, 2020 - R
Machine Learning exercises for my subject of Machine Learning at University of Granada (UGR).
machine-learning r svm machine-learning-algorithms ugr regularization perceptron trees knn linear-models aprendizaje-automatico boosting bagging
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Mar 24, 2017 - R
Classification Trees, Random Forest, Boosting | Columbia Business School
machine-learning random-forest classification trees boosted-trees boosting boosted-decision-trees boosted-classification
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Jul 12, 2019 - R
Analyzing microbiome data from Gigante, Barro Colorado, Panama. Part of an Undergraduate Thesis (defended on May 13th, 2022).
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Apr 25, 2023 - R
The Sap Flow Analyzer (SFA) is an R Shiny App to process sap flow data recorded with Heat Field Deformation (HFD) instruments. The app allows to clean the data, determine k-values, calculate sap flow per section and density as well as to estimate sap flow rates and tree water use.
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Jul 17, 2024 - R
Data Mining and Random Forest algo using R
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May 30, 2017 - R
This is where I'll post my machine learning templates that I've created
linear-regression classification logistic-regression glm trees ridge-regression polynomial-regression ensembles knn boosting lasso-regression bagging randomf
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Aug 8, 2021 - R
Bank Marketing Dataset (BMD), Machine Learning Repository (UCI), classification, clustering, R
r clustering naive-bayes-classifier classification trees kmedoids-clustering svm-classifier hierarchical-clustering dbscan-clustering bank-marketing-data-set
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Nov 8, 2024 - R
This project is a classification problem with a response variable to classify handwritten images as the numbers, 'one', 'seven' or 'eight. This is a classification problem using the Cross Entropy loss function, the 'tanh' activation function using h2o deeplearning as well as Trees.
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Apr 22, 2024 - R
This repository contains files containing attempts at solutions to problems for lab sessions part of a lecture series prepared for a 2-week introductory course to machine learning by Etienne A.D Pienaar
machine-learning neural-network h2o rmarkdown complexity pruning trees neuralnet validation-analysis
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Nov 29, 2021 - R
Chess Olympiad Dataset 2022
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Dec 19, 2022 - R
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