neurodata / Sporf
Licence: apache-2.0
This is the implementation of Sparse Projection Oblique Randomer Forest
Stars: ✭ 70
Programming Languages
Projects that are alternatives of or similar to Sporf
AdaptiveRandomForest
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
Stars: ✭ 28 (-60%)
Mutual labels: random-forest, classification, decision-trees
supervised-machine-learning
This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…
Stars: ✭ 34 (-51.43%)
Mutual labels: random-forest, classification, decision-trees
Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+3038.57%)
Mutual labels: classification, random-forest, decision-trees
Orange3
🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+4402.86%)
Mutual labels: classification, random-forest, decision-trees
MLDay18
Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
Stars: ✭ 15 (-78.57%)
Mutual labels: random-forest, decision-trees
Amazon-Fine-Food-Review
Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
Stars: ✭ 28 (-60%)
Mutual labels: random-forest, decision-trees
C4.5
A python implementation of C4.5 algorithm by R. Quinlan
Stars: ✭ 51 (-27.14%)
Mutual labels: classification, decision-trees
linear-tree
A python library to build Model Trees with Linear Models at the leaves.
Stars: ✭ 128 (+82.86%)
Mutual labels: random-forest, decision-trees
Breast-Cancer-Scikitlearn
simple tutorial on Machine Learning with Scikitlearn
Stars: ✭ 33 (-52.86%)
Mutual labels: random-forest, decision-trees
MachineLearningSeries
Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
Stars: ✭ 20 (-71.43%)
Mutual labels: random-forest, classification
Fuku Ml
Simple machine learning library / 簡單易用的機器學習套件
Stars: ✭ 280 (+300%)
Mutual labels: classification, decision-trees
yggdrasil-decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.
Stars: ✭ 156 (+122.86%)
Mutual labels: random-forest, decision-trees
Machine Learning From Scratch
Machine Learning models from scratch with a better visualisation
Stars: ✭ 15 (-78.57%)
Mutual labels: classification, decision-trees
2018 Machinelearning Lectures Esa
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Stars: ✭ 280 (+300%)
Mutual labels: random-forest, decision-trees
Sharplearning
Machine learning for C# .Net
Stars: ✭ 294 (+320%)
Mutual labels: random-forest, decision-trees
aws-machine-learning-university-dte
Machine Learning University: Decision Trees and Ensemble Methods
Stars: ✭ 119 (+70%)
Mutual labels: random-forest, decision-trees
df-dn-paper
Conceptual & empirical comparisons between decision forests & deep networks
Stars: ✭ 14 (-80%)
Mutual labels: classification, decision-trees
Awesome Fraud Detection Papers
A curated list of data mining papers about fraud detection.
Stars: ✭ 843 (+1104.29%)
Mutual labels: classification, random-forest
click-through-rate-prediction
📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms
Stars: ✭ 60 (-14.29%)
Mutual labels: random-forest, decision-trees
onelearn
Online machine learning methods
Stars: ✭ 14 (-80%)
Mutual labels: random-forest, classification
SPORF/RerF
SPORF -- sparse projection oblique randomer forests (aka RerF, Randomer Forest or Random Projection Forests) -- is an algorithm developed by Tomita et al. (2016) which is similar to Random Forest-Random Combination (Forest-RC) developed by Breiman (2001).
The difference between the two algorithms is where the random linear combinations occur: Forest-RC combines features at the tree level whereas RerF combines features at the node level.
Packages
packedForest (C++)
- Memory optimized C++ implementation of RandomForest and RerF.
Py-RerF
- Python bindings to packedForest.
R-RerF
- The R and C++ implemetation of RerF.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].