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38 search results found

H2o 3 ⭐ 6,618

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Benchm Ml ⭐ 1,839

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.).

User Machine Learning Tutorial ⭐ 386

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

This is the implementation of Sparse Projection Oblique Randomer Forest

exploratory data analysis using random forests

Missranger ⭐ 53

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

Miceranger ⭐ 42

miceRanger: Fast Imputation with Random Forests in R

Mlbayesopt ⭐ 39

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

Stock Market Sentiment Analysis ⭐ 38

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 article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe th

Broomstick ⭐ 29

🌲 broom helpers for decision tree methods (rpart, randomForest, and more!) 🌲

Rforestry ⭐ 29

Accelerated Oblique Random Survival Forests

R Stats Machine Learning ⭐ 25

Misc Statistics and Machine Learning codes in R

Causaltoolbox ⭐ 23

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

Flexible Bayesian Optimization in R

R Arcgis Lsm_toolpack ⭐ 23

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 (LR), (4) Random Forest (RF), (5) Performance Evaluation (PE) and (6) Create Raster Stack (Multi-Bands).

Foresterror ⭐ 22

A Unified Framework for Random Forest Prediction Error Estimation

Random Forest-informed Population Disaggregation R package

Introduction To Machine Learning ⭐ 17

A document covering machine learning basics. 🤖📊

Rfutilities ⭐ 14

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

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

Recursive Partitioning for Structural Equation Models

Wetlandmapr ⭐ 12

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

Machine Learning algorithms coded from scratch

Outforest ⭐ 11

Outlier detection based on random forest models

Tree.interpreter ⭐ 10

Decision tree interpreter for randomForest/ranger as described in

Tutorial Machine Learning Based Survival Analysis ⭐ 9

This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.

Nhanes R Programming ⭐ 9

This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc

Classification_churn_with_parsnip ⭐ 8

Modelling with Tidymodels and Parsnip - A Tidy Approach to a Classification Problem

Privateec ⭐ 7

An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests

banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.

Data Science ⭐ 7

EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)

R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.

Remote Sensing For Biomass Estimation ⭐ 6

This repository includes biomass estimation workflows using remote sensing data including capacity building materials.

Deep_health ⭐ 5

Exploring dataset on medical information on diabetic patients

Distillml ⭐ 5

An R package providing functions for interpreting and distilling machine learning models

Ryersoncapstone ⭐ 5

(2018) Churn Management & Customer Retention Project for my Ryerson Capstone using Tableau, R, AWS and SQL

Data Analysis On Hospital Readmission Data ⭐ 5

Analysis on hospital readmission data for diabetic patients using R and Tableau

Horserule ⭐ 5

R package for the HorseRule model.

Machine Learning Course ⭐ 5

Machine Learning and Deep Learning Course

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