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Search results for r gbm

28 search results found

Lightgbm ⭐ 16,056

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Catboost ⭐ 7,564

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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.

Gradient boosted models

Telco Customer Churn In R And H2o ⭐ 57

Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)

Gradient boosted models (the old gbm package)

Kaggle_walmart Recruiting Store Sales Forecasting ⭐ 41

R code for Kaggle's Walmart Recruiting - Store Sales Forecasting

Faster, better, smarter ecological niche modeling and species distribution modeling

Forecastveg ⭐ 34

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Broomstick ⭐ 29

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

Stochastic Dummy Boosting

Stackgbm ⭐ 24

🌳 Stacked Gradient Boosting Machines

mlim: single and multiple imputation with automated machine learning

Kaggle_loan_default_prediction ⭐ 19

R code for Kaggle's Loan Default Prediction - Imperial College London challenge

Ml Scoring ⭐ 19

Compare the scoring speed of several open source machine learning libraries.

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.

Bioconcotk ⭐ 9

Bioconductor components for general cancer genomics

Gbm_immune_validation ⭐ 8

Validating glioblastoma immune cell immunohistochemsitry using computational deconvolution of TCGA tumors

Dvc_r_ensemble ⭐ 7

Materials of a case study to build a DVC-based ML pipeline for an R project with ensemble prediction

Tumor neoantigen immunogenicity prediction

Datascience Aes ⭐ 6

My code for the Columbia Data Science final project Kaggle competition. Automated essay grading system.

Kaggle_higgs_boson_machine_learning_challenge ⭐ 5

R's GBM model for Higgs Boson Machine Learning Challenge

Code and metadata for glioblastoma matched analysis

H2o Tutorial ⭐ 5

H2O Tuning and Ensembling Tutorial for R

Kaggle Bci Challenge ⭐ 5

Gbm_pcnsl_cnn_modeling ⭐ 5

Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-parametric MRI based Convolutional Neural Network Model

convert your Poisson regression into a Poisson point process model

See_click_predict_fix ⭐ 5

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