GitHub topics: gradient-boosting-machine
mdabros/SharpLearning
Machine learning for C# .Net
Language: C# - Size: 4.04 MB - Last synced at: 26 minutes ago - Pushed at: about 2 months ago - Stars: 394 - Forks: 86
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
Language: Python - Size: 870 KB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 2,399 - Forks: 343
benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
Language: Python - Size: 1.48 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 1,022 - Forks: 160
serengil/chefboost
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
Language: Python - Size: 1.09 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 472 - Forks: 101
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.).
Language: R - Size: 1.08 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1,881 - Forks: 334
jphall663/interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Language: Jupyter Notebook - Size: 34.7 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 676 - Forks: 207
rmitsuboshi/miniboosts
A collection of boosting algorithms written in Rust 🦀
Language: Rust - Size: 4.12 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 52 - Forks: 5
RubixML/Housing
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
Language: PHP - Size: 617 KB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 22
serengil/h2o-ai-101
This repository covers h2o ai based implementations
Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 5
NoveliaYuki4982/ML-root_finder
Project that trains different ML models to find the best one at finding the root of a sentence given a free tree.
Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
souptik69/GRN_FDR_package
Novel statistical methodology for FDR(False Discovery Rate) analysis of Gene Regulatory Networks
Language: Python - Size: 1.87 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1
wepe/tgboost
Tiny Gradient Boosting Tree
Language: Java - Size: 21.8 MB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 321 - Forks: 103
StatMixedML/Py-BoostLSS
An extension of Py-Boost to probabilistic modelling
Language: Python - Size: 5.07 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 0
serengil/decision-trees-for-ml
Building Decision Trees From Scratch In Python
Language: Jupyter Notebook - Size: 371 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 66 - Forks: 51
alloverheada2/Gradient-Full
Size: 2.93 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
abhinavsaurabh/Disease-Diagnosis-based-on-Symptoms
This project uses Machine learning and Information Retrival techniques to detect diseases based on symptoms.
Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 1
benedekrozemberczki/BoostedFactorization
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Language: Python - Size: 829 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 36 - Forks: 13
aifenaike/Acoustic-Log-Estimation_Using-ML
Language: Lasso - Size: 11.9 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
RudreshVeerkhare/CustomXGBoost
Modified XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.
Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: 25 days ago - Pushed at: almost 5 years ago - Stars: 26 - Forks: 9
navdeep-G/interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
Language: Jupyter Notebook - Size: 84.4 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 21 - Forks: 8
ledell/useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Language: Jupyter Notebook - Size: 3.73 MB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 401 - Forks: 204
adistrim/TruthfulnessClassifier
An experimental machine learning project 🤖📖
Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 1
johnnyyiu/poverty-prediction
[Advanced Regression] Predicting the Poverty Probability Index using socioeconomic data from 12600 individuals over 7 African countries
Language: Jupyter Notebook - Size: 4.16 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1
Yoonyoung-Cho/HR_Data_predicting_employee_resignition_2019
2019.12.12 개인 프로젝트. 직원의 퇴사를 예측하고 퇴사 이유 및 해결방안 제시
Language: Jupyter Notebook - Size: 4.12 MB - Last synced at: 9 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
jeus0522/Housing
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
Language: PHP - Size: 670 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
haghish/mlim
mlim: single and multiple imputation with automated machine learning
Language: R - Size: 2.41 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 26 - Forks: 1
szilard/GBM-perf
Performance of various open source GBM implementations
Language: HTML - Size: 14.5 MB - Last synced at: 7 months ago - Pushed at: 11 months ago - Stars: 215 - Forks: 28
ekagra-ranjan/Optimal-Bidding
Inter IIT Techmeet 2017, IIT Madras - Data Science Competition
Language: Jupyter Notebook - Size: 802 KB - Last synced at: 7 days ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 1
szilard/GBM-tune
Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
Language: HTML - Size: 10.4 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 21 - Forks: 3
sh1ng/arboretum
Gradient Boosting powered by GPU(NVIDIA CUDA)
Language: Cuda - Size: 656 KB - Last synced at: 28 days ago - Pushed at: about 5 years ago - Stars: 64 - Forks: 14
sairam940/featureAnalysisForBreastCancerPrediction
Analysed the features for breast cancer data and predicted the diagnosis using Random Forest, Gradient Boosting Machine (GBM)
Size: 1010 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
roobyz/PredictiveML
Predictive Machine Learning Project
Language: HTML - Size: 35 MB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 1
gtesei/fast-furious
code (R, Matlab/Octave), models and meta-models I needed in my Machine Learning Lab but I didn't found on the shelf
Language: Jupyter Notebook - Size: 161 MB - Last synced at: 12 days ago - Pushed at: about 6 years ago - Stars: 18 - Forks: 3
leffff/stackboost
Open source gradient boosting library
Language: Python - Size: 101 KB - Last synced at: 25 days ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 0
avinashbarnwal/GSOC-2019
All the Workings for GSOC-2019
Language: HTML - Size: 395 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 3 - Forks: 2
WLOGSolutions/telco-customer-churn-in-r-and-h2o
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
Language: R - Size: 483 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 58 - Forks: 60
sowmya-kukkala/DataThirst
Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0
Mephistopheles-0/Performance-Prediction-with-Wearable-Tech-Data
analyze data from accelerometers placed on the belt, forearm, arm, and dumbbell of six participants. These individuals were tasked with executing barbell lifts, both correctly and incorrectly, in five distinct manners
Language: HTML - Size: 11.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
KwokHing/WiDS-Datathon-Patient-Survival
A challenge to create a model that uses data from the first 24 hours of intensive care to predict patient survival
Language: Jupyter Notebook - Size: 54.7 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
pierogio/ML_classification
Machine learning classification applied to wine recognition data.
Language: Jupyter Notebook - Size: 5.76 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
atrij/donor
Exploration of ensemble methods on a imbalanced binary classsification problem
Language: Jupyter Notebook - Size: 995 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0
JoomiK/Housing
Predicting housing prices from categorical and numerical data with gradient boosted regression trees.
Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 1
m-enesyilmaz/Machine_Learning_with_Python
Ⓜ️Machine Learning with Python
Language: Python - Size: 896 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Ankushr785/Food-amenities-ordered-quantity-predictions
A comprehensive repository containing the step by step approach (ARIMA, Gradient Boosting, XGB etc.) to increasing the predictive accuracy of ordered quantities
Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1
fahd09/kaggle_competitions_old
My contributions in Kaggle, mostly in a notebook format. Just for fun.
Language: Jupyter Notebook - Size: 2.69 MB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 5 - Forks: 3
Baukebrenninkmeijer/Bagging-and-Boosting-for-Anomaly-Detection
This project compares multiple bagging and boosting methods for anomaly detection for the Gecco challenge.
Language: R - Size: 1.95 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0
drmerlot/startml
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
Language: R - Size: 10.6 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 0
adharshvenkat/loan-defaults-prediction
A Machine Learning Project that aims to perform loan defaults prediction to help banks mitigate the risk of lending bad loans
Language: Jupyter Notebook - Size: 3.82 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
bgreenwell/MLDay18
Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
Language: R - Size: 98.2 MB - Last synced at: 18 days ago - Pushed at: over 6 years ago - Stars: 16 - Forks: 7
qiyiping/gbdt
Language: C++ - Size: 597 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 94 - Forks: 70
achoum/arduino-tensorflow-decision-forests
Run a TensorFlow Decision Forests on an Ardwino.
Language: C - Size: 59.6 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
tugrulhkarabulut/Tree-Based-Methods
Implementation of Decision Tree and Ensemble Learning algorithms in Python with numpy
Language: Jupyter Notebook - Size: 4.82 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 0
Rene-Sanchez/Spotify-User-Analysis
Analysis of Spotify user data to create a predictive model using machine learning.
Language: Jupyter Notebook - Size: 3.56 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1
ekagra-ranjan/GS-Quantify-17
GS-Quantify' 17, Goldman Sachs Data Science Competition
Language: Jupyter Notebook - Size: 891 KB - Last synced at: 6 days ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
ekagra-ranjan/Analyze-This-17
Analyze This' 17, American Express Data Science Competition ('Outstanding Performer')
Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: 6 days ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
koalaverse/machine-learning-in-R Fork of rstudio/bookdown-demo
A bookdown version of the UseR 2016 machine learning tutorial given by Erin LeDell
Language: CSS - Size: 4.25 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 4
xxl4tomxu98/autoencoder-feature-extraction
Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
Language: Jupyter Notebook - Size: 90.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 1
RachanaJayaram/MalwarePrediction
Using machine learning models to predict the probability of a windows system getting infected by various families of malware, based on different properties of that system.
Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 4
dhamvi01/Light-GBM
Language: Python - Size: 950 KB - Last synced at: 8 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
vshantam/House-Prices-Advanced-Regression-Techniques
Predict sales prices and practice feature engineering, RFs, and gradient boosting
Language: Python - Size: 787 KB - Last synced at: 9 months ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 1
KodAgge/Feasibility-Prediction
Blackbox feasibility prediction with machine learning to optimize a CMA-ES algorithm
Language: Jupyter Notebook - Size: 70 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
aman9801/house-sales-prediction-using-gbm
House Sales Prediction using GBM (Regression)
Language: Jupyter Notebook - Size: 1.67 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
aman9801/attrition-prediction-using-gbm
Attrition Prediction using GBM (Classification)
Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
WindQAQ/ML2017
NTUEE Machine Learning, 2017 Spring
Language: Python - Size: 559 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 32 - Forks: 12
yubin-park/bonsai-dt
Programmable Decision Tree Framework
Language: Python - Size: 3.81 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 34 - Forks: 6
xopclabs/random-rotation-sklearn
sklearn implementation of Random Rotations for ensemble models
Language: Python - Size: 7.51 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
Ankushr785/Kaggle-Titanic-Dataset
An insight to analyzing Titanic survival using decision trees and ensemble methods
Language: Python - Size: 37.1 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0
BharatMaheshwari96/Employee-churn-prediction
Language: Jupyter Notebook - Size: 96.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
gtsa/How_well_do_you_perform_your_work-out---ML_Case-Study
In this project we can see in action and in detail a big part of the ML pipeline (data wrangling,model building, model evaluation) that comprises different algorithms and approaches such as Decision Trees (RPART), Linear Discriminant Analysis (LDA), Gradient Boosting Machne (GBM), Random Forest (RF) Support Vector Machine (SVM) with or without Model Stacking, with or without Dimensionality Reduction (with Principal Component Analysis (PCA) or Near-Zero Variance Predictors Filtering)
Language: R - Size: 602 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
mehulthakral/MalwareDetection Fork of RachanaJayaram/MalwarePrediction
Using machine learning models to predict the probability of a windows system getting infected by various families of malware, based on different properties of that system.
Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
iupriser/path-to-ML
Language: Jupyter Notebook - Size: 987 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
ekagra-ranjan/Analyze-This-18
(National Rank: 22) Analyze This' 18, American Express Data Science Competition
Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 6 days ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0
jimitmistry/Microsoft-Malware-Prediction-pyspark
Language: Jupyter Notebook - Size: 3.64 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1
koalaverse/gbm Fork of gbm-developers/gbm
gbm: the old gbm package
Language: R - Size: 3.89 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1
sh1ng/arboretum_benchmark
Language: Python - Size: 114 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
rehmanzafar/PredictingAnimalsOutcome
Language: R - Size: 674 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
MotiBaadror/Customer-Credibility-Analysis-
Data Cleaning and modeling Approaches
Language: Jupyter Notebook - Size: 978 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
achyutb6/home-credit-deafult-risk
The objective of this project is to predict whether or not an applicant will be able to repay a loan using historical data of user requesting a loan
Language: Jupyter Notebook - Size: 470 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
pallavbakshi/datascience
Python and R data analysis
Language: Python - Size: 74 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 4
antiDigest/PumpItUp
Pump It Up: Data Mining the Water Table
Language: Python - Size: 6.89 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1
osWW-VBS/TMVA_Studies
Language: C - Size: 50.8 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
chck/gradient-boosting-machine
Linear regression at transformed features by gradient boosting machine
Size: 1000 Bytes - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
mmaguero/Titanic
[SIGE-MII-UGR-2016-17] Competición en Kaggle: Titanic
Language: R - Size: 916 KB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0
