GitHub topics: random-forests
FarrellDay/miceRanger
miceRanger: Fast Imputation with Random Forests in R
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PacktWorkshops/The-Python-Workshop
A New, Interactive Approach to Learning Python
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JuliaAI/DecisionTree.jl
Julia implementation of Decision Tree (CART) and Random Forest algorithms
Language: Julia - Size: 1.09 MB - Last synced at: 13 days ago - Pushed at: 8 months ago - Stars: 359 - Forks: 101

jjbrophy47/dare_rf
Machine Unlearning for Random Forests
Language: Python - Size: 17 MB - Last synced at: 24 days ago - Pushed at: 12 months ago - Stars: 20 - Forks: 3

andrematte/dam-segmentation
Embankment dam land-cover segmentation based on multispectral remote sensing imagery.
Language: Python - Size: 399 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

CBravoR/AdvancedAnalyticsLabs
Analytics labs notebooks for Statistics and Business School students
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jaydu1/ensemble-cross-validation
Cross-validation methods designed for ensemble learning
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jjfiv/fastrank
My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank".
Language: Rust - Size: 362 KB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 52 - Forks: 5

wajoel/Customer-Segmentation-in-USA
Advanced Customer Segmentation methods in R
Language: R - Size: 569 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

MohammadvHossein/ML-GYM
The ML-GYM repository showcases machine learning projects using **scikit-learn**, covering classification, regression, and clustering. It offers educational resources for beginners and practical examples for experienced users, complete with detailed instructions.
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Armin-Abdollahi/Machine-Learning
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neurodata/ProgLearn
NeuroData's package for exploring and using progressive learning algorithms
Language: Jupyter Notebook - Size: 374 MB - Last synced at: 12 days ago - Pushed at: 3 months ago - Stars: 36 - Forks: 42

eacheson/machine-learning-gazetteer-matching
Cross-gazetteer record linking of natural features in Switzerland using machine learning (random forests) and handcrafted rules.
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csinva/disentangled-attribution-curves
Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
Language: Python - Size: 4.63 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 27 - Forks: 4

GijsWerkman/startup-investment-analysis
Group project for the course Business Analytics Applications with Python for my MScBA in Business Analytics & Management.
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neurodata/df-dn-paper
Conceptual & empirical comparisons between decision forests & deep networks
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T-Fernandes/Machine_Learning
Portfolio of machine learning projects
Language: R - Size: 278 KB - Last synced at: 9 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

jseluis/artificial_intelligence_for_trading
Artificial Intelligence for Trading
Language: HTML - Size: 131 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 12 - Forks: 4

seunboy1/Income-predictor
Quick intro into the world of distributed machine learning
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tweichle/Predicting-Baseball-Statistics
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn and TensorFlow-Keras
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tweichle/Classifying-Criminal-Offenses
Classifying Criminal Offenses: Classification Application in Python Using scikit-learn and TensorFlow-Keras
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tommykwok722/Lead-Prediction-System
Develop a Lead Prediction System to enhance marketing efforts by accurately identifying prospective customers.
Size: 12.8 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Rnamrata/diabetic_data_eda
Exploratory data analysis and predicting diabetics using PySpark
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arubiales/trees-models
Fast explication of different models based in trees
Language: Jupyter Notebook - Size: 36.4 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

yuvalofek/FrequentistML
Linear & logistic regression, model assessment and selection, and gradient boosted trees
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jgeofil/mycorrhiza-algorithm
Combining phylogenetic networks and Random Forests for prediction of ancestry from multilocus genotype data
Language: Python - Size: 15 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 2

jmm34/computo-local-tree-methods-for-classification Fork of computorg/template-computo-R
Material associated to the publication project on local trees methods for classification
Language: R - Size: 54 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sorooshsorkhani/RankLib-Gini
Gini feature importance for RankLib random forests:
Language: Python - Size: 12.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

bcgov/wetlandmapR
Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS
Language: R - Size: 7.65 MB - Last synced at: 6 months ago - Pushed at: about 3 years ago - Stars: 17 - Forks: 6

msarnacki/online-news-popularity-classification
This was a binary classification task in which I had to determine if and article got at least 1400 shares. I wanted to use few different machine learning algorithms to compare their accuracy on that data. I chose to use: Decision Tree, Random Forests and Multi Layer Perceptron.
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Keith-Tachibana/Machine_Learning_Income_Predictor
Final project for UCI's CS 273P Machine Learning and Data Mining class that uses machine learning to analyze a data set and predict a person's income
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milesdwilliams15/RFA
RFA package for implementing random forest adjustment.
Language: R - Size: 197 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

jsutch/Decision_Trees_and_Random_Forests
Decision_Trees_and_Random_Forests
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tyknkd/e-commerce-revenue-prediction
Comparison of tree ensemble machine learning methods in predicting revenue outcome for an e-commerce site
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Lavanyask03/income
Binary Classification of incomes as <50k or >50k using decision trees and random forests.
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JalalAl-Tamimi/Intro-Random-Forests
This repo contains material for a workshop on Random Forests in phonetics/phonology research
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darth-c0d3r/deep-neural-decision-forests
A model combining Deep Neural Networks and (Stochastic) Random Forests.
Language: Python - Size: 10.8 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 12 - Forks: 5

andkound98/comp-stat-project-2022
Material for the Computational Statistics Project | Summer 2022 | University of Bonn
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rlleshi/MachineLearning
Some fundamental machine learning and data analysis techniques are revisited here through practical projects
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jjfiv/poetry-identification
Poetry Identification Code from my dissertation runs on zip files containing DJVUXML from the Internet Archive.
Language: Rust - Size: 6.77 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1

cjabradshaw/random-forests-for-predicting-predator-prey-interactions-in-terrestrial-vertebrates Fork of JohnLlewelyn/random-forests-for-predicting-predator-prey-interactions-in-terrestrial-vertebrates
R code for "Predicting predator-prey interactions in terrestrial endotherms using random forest"
Language: R - Size: 63.7 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

Bipin-K-Balan/Medical-Insurance-cost-prediction
Machine Learning based web application which helps users to choose an appropriate insurance premuim for subscription by predicting it based on user's details like living style, gender, smoker or not etc.
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mustafa1728/Yogasana-Classifier
[Springer Nature CS] Official code repository for the paper "A View Independent Classification Framework for Yoga Postures".
Language: Python - Size: 25.8 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

TrainingByPackt/The-Python-Workshop
Become a proficient, productive and powerful programmer with Python
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UnixJunkie/orf
OCaml Random Forests
Language: OCaml - Size: 1.11 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

TrentBrunson/Machine_Learning
Supervised Machine Learning using SciKit and other tools to do PCA, SVM, random forests, etc. for facial recognition and predictive decision making.
Language: Python - Size: 24.4 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

BioGenies/CancerGram
Predicts anticancer peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.
Language: R - Size: 1.73 MB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

chloestipinovich/Grass-Pollen-Forecasting
This is the repository used to make the project titled 'Grass Pollen in Cape Town: A Comparison of Generalised Additive Models and Random Forests' by Sky Cope and Chloë Stipinovich.
Language: R - Size: 15.4 MB - Last synced at: 15 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

jesussantana/IBM-Machine-Learning-with-Python
This Machine Learning with Python course dives into the basics of machine learning using an approachable, and well-known, programming language
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saimj7/Machine-Learning-Algorithms
ML algorithms and applications from famous papers; simple theory; solid code.
Language: Python - Size: 157 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

istiaq27/Handwritten-Digit-Recognition-with-Random-Forests
Handwritten Digit Recognition with Random Forests algorithm
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kaushikmanikonda/Industrial-Data-Analytics-and-Machine-Learning_ISEN_613
Data Analytics and Machine Learning in R. Linear-regression, Logistic-regression, Hierarchical-clustering, Boosting, Bagging, Random-forests, K-means-clustering, K-nearest-neighbors (K-N-N), Tree-pruning, Subset-selection, LDA, QDA, Support Vector Machines (SVM)
Language: R - Size: 664 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

bcjaeger/seminar---obliqueRSF
A 20m presentation showing the concepts behind oblique random survival forest and some of its recent applications.
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lyraxvincent/Data-Science-Machine-Learning-Portfolio
Portfolio Projects through my Data Science and Machine Learning Course program.
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gholste/RandomForestsCapstone
Code for Capstone paper "Random Forests for Supervised Classification"
Language: Python - Size: 2.9 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

DAndresSanchez/Placements_Multiple_Linear_Regression
Work placement salaries analysis through multiple linear regression and their occurrence based on qualifications and work experience.
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diannejardinez/machine-learning-challenge
Used Supervised Classification Predictive Machine Learning models such as Decision Trees, KNN, Logistic Regression, Random Forests, and SVM
Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

korsakowii/PredictTaxiFareswithRandomForests
Use regression trees and random forests to find places where New York taxi drivers earn the most.
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biomedia-mira/oak2
Random forests for 2D and 3D image analysis
Language: C++ - Size: 85.9 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

zahan97/Driver-Fatigue-Detection
Predicts if a driver is fit to drive or not. Performance of Logistic Regression, Naive Bayes, and Random Forests using Scikit-Learn is compared.
Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

albert-espin/random-forest
Random Forest Classifier
Language: Python - Size: 647 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

dimplekochar/Music_Genre_Identification
Language: Python - Size: 1.21 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

AndreeaMusat/machine_learning
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kabragaurav/Employee-Turnover-using-ML-Trees-Forests
Language: Jupyter Notebook - Size: 799 KB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

tweichle/DS-Case-Study-2
Data Science - Case Study with Classification Application in Python Using scikit-learn
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GabVenturato/applied-statistics-project
In-depth analysis about rminer package for regression. Project from my Applied Statistics and Data Analysis course in CS master degree.
Language: R - Size: 8.38 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

zmyzheng/MahcineLearning
machine learning algorithms realization
Language: Python - Size: 20.6 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

chrinide/parf
PARF - Parallel Random Algorithm
Language: Fortran - Size: 68.4 KB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 1 - Forks: 1
