#

random-forest

Here are 446 public repositories matching this topic...

szilard / benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

python data-science machine-learning r spark deep-learning random-forest h2o xgboost gradient-boosting-machine

Updated Sep 16, 2022
R

adityashrm21 / Bike-Sharing-Demand-Kaggle

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

data-science machine-learning r random-forest kaggle datascience feature-extraction kaggle-competition decision-trees feature-engineering bikesharing kaggle-scripts kaggle-dataset boxplots log-transformation

Updated Jan 24, 2018
R

ModelOriented / randomForestExplainer

A set of tools to understand what is happening inside a Random Forest

cran random-forest

Updated Mar 25, 2024
R

tirthajyoti / R-stats-machine-learning

Misc Statistics and Machine Learning codes in R

machine-learning r statistics neural-network random-forest clustering regression classification nearest-neighbors k-means decision-trees support-vector-machines hypothesis-testing principal-component-analysis

Updated Mar 20, 2021
R

gandalf1819 / Stock-Market-Sentiment-Analysis

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news articl…

machine-learning r random-forest stock-market naive-bayes-classifier news-articles classification-algorithm sentiment-scores fundamental-analysis techincal-analysis

Updated Nov 10, 2020
R

pravinknr / DataScience_R_Codes

This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.

data-science r random-forest linear-regression machine-learning-algorithms naive-bayes-classifier confidence-intervals logistic-regression support-vector-machine association-rules hypothesis-testing decision-tree descriptive-statistics nlp-machine-learning clustering-algorithm decision-tree-classifier k-nearest-neighbours forecasting-models principle-component-analysis

Updated Aug 21, 2023
R

spatialRF

BlasBenito / spatialRF

R package to fit spatial models with Random Forest

random-forest spatial-analysis spatial-regression

Updated Feb 18, 2023
R

ymattu / MlBayesOpt

R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process

r random-forest xgboost support-vector-machine tuning-parameters pacakge

Updated Dec 13, 2019
R

randel / MixRF

A random-forest-based approach for imputing clustered incomplete data

random-forest gene-expression imputation mixed-models

Updated May 6, 2017
R

m-clark / introduction-to-machine-learning

A document covering machine learning basics. 🤖📊

python machine-learning r neural-network random-forest svm cross-validation regularization knn loss-functions bias-variance

Updated Dec 16, 2022
R

TrainingByPackt / Practical-Machine-Learning-with-R

Define, build, and evaluate machine learning models for real-world applications

r neural-network random-forest linear-regression classification rpart mice non-linear-regression

Updated Aug 27, 2019
R

emrehanks / R-ArcGIS-LSM_ToolPack

This tool is to develop an easy-to-use tool package called Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide susceptibility maps based on integrating R with ArcMap Software. The proposed tool contains 5 main modules namely: (1) Data Preparation (DP), (2) Feature (Factor) Selection (FS), (3) Logistic Regression (L…

arcgis random-forest feature-selection lsm landslide-susceptibility-mapping arcbinding landslide-susceptibility arcgis-and-r-integration

Updated Apr 27, 2023
R

mayer79 / missRanger

R package "missRanger" for fast imputation of missing values by random forests.

machine-learning r random-forest rstats imputation missing-values

Updated Feb 2, 2024
R

andremonaco / cheapml

Machine Learning algorithms coded from scratch

data-science machine-learning random-forest machine-learning-algorithms regression from-scratch gradient-boosting regression-trees demystify

Updated Dec 16, 2020
R

zmjones / edarf

exploratory data analysis using random forests

machine-learning r random-forest exploratory-data-analysis rstats

Updated Feb 6, 2018
R

jeffreyevans / rfUtilities

R package for random forests model selection, inference, evaluation and validation

cran r statistics random-forest regression classification r-package nonparametric-statistics

Updated Mar 28, 2024
R

bgreenwell / MLDay18

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

machine-learning r random-forest gradient-boosting-machine decision-trees partial-dependence-plot variable-importance-plots

Updated Sep 15, 2018
R

bcgov / wetlandmapR

Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS

package random-forest data-driven statistical-methods raster british-columbia random-forests mapping-wetland-ecosystems wetland-model rsaga saga-gis

Updated Mar 17, 2022
R

forestry-labs / causalToolbox

machine-learning random-forest inference causal-inference treatment-effects interpretability bayesian-additive-regression-trees

Updated Jan 20, 2023
R

susanli2016 / Machine-Learning-with-R

R codes for common Machine Learning Algorithms

random-forest svm naive-bayes linear-regression pca logistic-regression decision-trees lda polynomial-regression knn kmeans-clustering apriori-algorithm hierarchical-clustering svr xgboost-algorithm

Updated May 26, 2017
R

Improve this page

Add a description, image, and links to the random-forest topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the random-forest topic, visit your repo's landing page and select "manage topics."