GitHub topics: random-forests

Repositories

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

Language: Jupyter Notebook - Size: 5.04 MB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 266 - Forks: 355

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

Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 30 - Forks: 17

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

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

Language: Jupyter Notebook - Size: 606 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 17 - Forks: 8

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

Language: Jupyter Notebook - Size: 5.03 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

tweichle/Predicting-Baseball-Statistics

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn and TensorFlow-Keras

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 14 - Forks: 4

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

Language: Jupyter Notebook - Size: 3.71 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 2.29 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 646 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 2

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