A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Pyt…
R
Updated Sep 15, 2018
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive
http://user2016.org/tutorials/10.html
Tiny Gradient Boosting Tree
Java
Updated Apr 28, 2018
Practical techniques for interpreting machine learning models.
Jupyter Notebook
Updated Mar 22, 2019
Machine learning for C# .Net
C#
Updated Mar 3, 2019
Performance of various open source GBM implementations
R
Updated Jun 2, 2018
C++
Updated Nov 6, 2017
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
R
Updated Sep 28, 2017
Gradient Boosting powered by GPU(NVIDIA CUDA)
Cuda
Updated Jun 16, 2018
A machine learning project in F#
F#
Updated Jun 19, 2018
NTUEE Machine Learning, 2017 Spring
Python
Updated Sep 15, 2017
Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
HTML
Updated Sep 11, 2017
code (R, Matlab/Octave), models and meta-models I needed in my Machine Learning Lab but I didn't found on the shelf
Jupyter Notebook
Updated Mar 11, 2019
Programmable Decision Tree Framework
Python
Updated Mar 8, 2019
Building Decision Trees From Scratch In Python
Jupyter Notebook
Updated Mar 13, 2019
An implementation of "L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization" (ICDM…
Python
Updated Mar 7, 2019
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and rand…
R
Updated Feb 27, 2018
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
PHP
Updated Feb 9, 2019
Interpretable Machine Learning
Jupyter Notebook
Updated Feb 10, 2019
Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
R
Updated Sep 15, 2018
A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based …
Python
Updated Oct 31, 2018
Decision Tree Gradient Boosting Framework
Python
Updated Mar 12, 2019
One Data Set with All Algorithms
Python
Updated Nov 13, 2018
Analysis of Spotify user data to create a predictive model using machine learning.
Jupyter Notebook
Updated Feb 1, 2018
My contributions in Kaggle, mostly in a notebook format. Just for fun.
Jupyter Notebook
Updated Apr 25, 2017
A comprehensive repository containing the step by step approach (ARIMA, Gradient Boosting, XGB etc.) to increasing th…
Python
Updated May 26, 2017
How to build classification models using H2O in R
R
Updated Jul 15, 2017
Predicting housing prices from categorical and numerical data with gradient boosted regression trees.
Jupyter Notebook
Updated Feb 18, 2017
Predict sales prices and practice feature engineering, RFs, and gradient boosting
Python
Updated May 20, 2018
A bookdown version of the UseR 2016 machine learning tutorial given by Erin LeDell