A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree al…
C++
Updated May 4, 2019
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, reg…
good first issue
help wanted
#785 opened 24 days ago by annaveronika
good first issue
help wanted
#766 opened 30 days ago by annaveronika
1
good first issue
help wanted
#763 opened about 1 month ago by annaveronika
C++
Updated May 4, 2019
🍊 📊 💡 Orange: Interactive data analysis
https://orange.biolab.si
#3746 opened 22 days ago by ajdapretnar
#3724 opened 29 days ago by janezd
#3548 opened 3 months ago by markotoplak
2
Python
Updated Apr 30, 2019
General Assembly's 2015 Data Science course in Washington, DC
Jupyter Notebook
Updated Apr 18, 2016
Python code for common Machine Learning Algorithms
Jupyter Notebook
Updated Apr 24, 2019
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Jupyter Notebook
Updated Apr 30, 2019
Notebooks to learn data science - Videos
https://www.edyoda.com/course/1416
Jupyter Notebook
Updated Mar 11, 2019
Text Classification Algorithms: A Survey
Python
Updated May 3, 2019
Simple machine learning library / 簡單易用的機器學習套件
Python
Updated Sep 11, 2018
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper a…
C++
Updated Apr 30, 2019
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Jupyter Notebook
Updated Mar 15, 2019
Machine learning for C# .Net
C#
Updated Mar 3, 2019
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Go
Updated Mar 29, 2019
An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, inter…
Scilab
Updated Nov 20, 2017
6-hour tutorial on machine learning in R: preprocessing, cross-validation, lasso, decision trees, random forest, xgbo…
R
Updated Apr 18, 2019
Real time face landmarking using decision trees and NN autoencoders
C++
Updated Feb 28, 2019
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Jupyter Notebook
Updated Mar 21, 2019
Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
TeX
Updated Nov 23, 2016
Software for creating and analyzing decision trees.
JavaScript
Updated Jan 2, 2019
Small project to learn neuronal network with classifying some basic colors based on Decision Tree Classifier and webc…
Python
Updated Oct 12, 2017
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
q
Updated May 4, 2019
Tajweed annotation for the Qur'an
Python
Updated Dec 12, 2017
Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergradu…
Java
Updated Aug 24, 2017
Rubi for Mathematica
good first issue
Rubi interface
#16 opened 5 months ago by halirutan
Mathematica
Updated Dec 21, 2018
🌲 Decision Tree Visualization for Apache Spark
JavaScript
Updated May 3, 2019
TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018
Updated May 2, 2019
Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand
R
Updated Jan 24, 2018
Go Scoring API for PMML
Go
Updated May 4, 2019
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polyno…
Python
Updated Apr 9, 2019
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Jupyter Notebook
Updated May 11, 2017