All Categories → Machine Learning → random-forest

Top 106 random-forest open source projects

This repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London".

✭ 35

Jupyter Notebook python r random-forest ml gentrification geography london

missRanger

R package "missRanger" for fast imputation of missing values by random forests.

✭ 42

r random-forest imputation

MLDay18

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

✭ 15

r machine-learning random-forest gradient-boosting-machine decision-trees partial-dependence-plot variable-importance-plots

forestError

A Unified Framework for Random Forest Prediction Error Estimation

✭ 23

r machine-learning statistics random-forest inference prediction randomforest machinelearning intervals

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

✭ 28

Jupyter Notebook random-forest svm naive-bayes logistic-regression machinelearning decision-trees knn tsne kmeans-clustering truncated-svd amazonfinefoodreviews

yggdrasil-decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

✭ 156

C++Starlark cli machine-learning random-forest tensorflow ml cart decision-trees gradient-boosting interpretability decision-forest

arboreto

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

✭ 33

Jupyter Notebook machine-learning scalable random-forest network inference gene-regulation ensemble-learning dask gradient-boosting

aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

✭ 119

Jupyter Notebook machine-learning random-forest tabular-data xgboost lightgbm decision-trees boosting catboost

SentimentAnalysis

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

✭ 40

Jupyter Notebook random-forest svm word2vec cnn embeddings lstm tf-idf bow decision-tree bert sentimentanalysis tensorflow-hub

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…

✭ 34

Jupyter Notebook machine-learning natural-language-processing random-forest media classification auc logistic-regression decision-trees webscraping roc-curve clicks beautifulsoup4

onelearn

Online machine learning methods

✭ 14

python machine-learning random-forest regression classification online-learning-algorithms

How-to-score-0.8134-in-Titanic-Kaggle-Challenge

Solution of the Titanic Kaggle competition

✭ 114

Jupyter Notebook visualization machine-learning tutorial jupyter random-forest scikit-learn exploratory-data-analysis data-visualization kaggle kaggle-titanic gridsearch

ICC-2019-WC-prediction

Predicting the winner of 2019 cricket world cup using random forest algorithm

✭ 41

Jupyter Notebook machine-learning algorithms random-forest scikit-learn jupyter-notebook artificial-intelligence cricket logistic-regression support-vector-machines knn-classification worldcup2019

Machine learning trading algorithm

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

✭ 20

python machine-learning random-forest algotrading knn svc

click-through-rate-prediction

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

✭ 60

python machine-learning random-forest adwords logistic-regression advertising decision-trees decision-tree-classifier online-advertising click-through-rate logistic-regression-models

Bike-Sharing-Demand-Kaggle

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

✭ 33

r data-science machine-learning random-forest kaggle datascience feature-extraction kaggle-competition decision-trees feature-engineering bikesharing kaggle-scripts kaggle-dataset boxplots log-transformation

efficient online learning

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

✭ 20

C++python Jupyter Notebook CMake deep-learning random-forest point-cloud autonomous-driving velodyne online-learning kitti-dataset 3d-object-detection

jupyter-notebooks

Jupyter Notebooks and miscellaneous

✭ 51

Jupyter Notebook python nlp data-science machine-learning statistics deep-learning random-forest tensorflow keras jupyter-notebook pytorch decision-tree

random-survival-forest

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

✭ 40

python machine-learning random-forest survival-analysis random-survival-forests survival-prediction

randomforest-density-python

Random Forests for Density Estimation in Python

✭ 24

python random-forest density-estimation kernel-density-estimation

bitcoin-prediction

bitcoin prediction algorithms

✭ 21

Jupyter Notebook random-forest linear-regression machine-learning-algorithms recurrent-neural-networks gru arima prophet prediction-algorithm svm-classifier lstm-neural-networks holt-winters bitcoin-price-prediction

handson-ml

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

✭ 285

machine-learning deep-neural-networks reinforcement-learning deep-learning neural-network random-forest tensorflow svm scikit-learn recurrent-neural-networks xgboost autoencoder ensemble-learning gradient-boosting

scoruby

Ruby Scoring API for PMML

✭ 69

ruby shell ruby-gem machine-learning random-forest naive-bayes classification gbm pmml decision-tree gradient-boosting-classifier rubyml gradient-boosted-models

LSTM-Time-Series-Analysis

Using LSTM network for time series forecasting

✭ 41

Jupyter Notebook data-science machine-learning deep-learning time-series neural-network random-forest recurrent-neural-networks lstm

rfvis

A tool for visualizing the structure and performance of Random Forests 🌳

✭ 20

javascript python SCSS HTML visualization random-forest decision-trees d3js

Shapley regressions

Statistical inference on machine learning or general non-parametric models

✭ 37

python machine-learning time-series random-forest artificial-intelligence statistical-inference data-analysis artificial-neural-networks statistical-tests support-vector-machines simulation-modeling non-parametric-inference shapley-decomposition

introduction-to-machine-learning

A document covering machine learning basics. 🤖📊

✭ 17

r Jupyter Notebook TeX machine-learning neural-network random-forest svm cross-validation regularization knn loss-functions bias-variance

goscore

Go Scoring API for PMML

✭ 85

go machine-learning random-forest classification pmml decision-trees

Github-Stars-Predictor

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

✭ 34

Jupyter Notebook javascript python nodejs github-api machine-learning deep-neural-networks deep-learning random-forest github-stars keras prediction data-visualization seaborn xgboost matplotlib catboost gradient-boosting-regressor

xforest

A super-fast and scalable Random Forest library based on fast histogram decision tree algorithm and distributed bagging framework. It can be used for binary classification, multi-label classification, and regression tasks. This library provides both Python and command line interface to users.

✭ 20

C++shell python Makefile CMake M4 distributed-systems data-science machine-learning data-mining random-forest data-analysis

dlime experiments

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

✭ 21

Jupyter Notebook python machine-learning random-forest scikit-learn neural-networks clusters knn lime classifiers explainable-ai explainable-ml xai heirarchical-clustering breast-cancer-dataset dlime

cheapml

Machine Learning algorithms coded from scratch

✭ 17

r data-science machine-learning random-forest machine-learning-algorithms regression from-scratch gradient-boosting regression-trees demystify

receiptdID

Receipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.

✭ 22

Jupyter Notebook machine-learning random-forest word2vec

wetlandmapR

Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS

✭ 16

r package random-forest data-driven statistical-methods raster british-columbia random-forests mapping-wetland-ecosystems wetland-model rsaga saga-gis

Machine-Learning-Models

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Loan-Web

ML-powered Loan-Marketer Customer Filtering Engine

✭ 13

python shell random-forest webapp banking binaryclassification streamlit-application

R-stats-machine-learning

Misc Statistics and Machine Learning codes in R

✭ 33

r machine-learning statistics neural-network random-forest clustering regression classification nearest-neighbors k-means decision-trees support-vector-machines hypothesis-testing principal-component-analysis

eForest

This is the official implementation for the paper 'AutoEncoder by Forest'

✭ 71

python shell random-forest autoencoder eforest encoderforest

lolo

A random forest

✭ 37

scala Jupyter Notebook python random-forest machine-learning-algorithms regression uncertainty classification jackknife-variance-estimates

pykitml

Machine Learning library written in Python and NumPy.

✭ 26

python Makefile machine-learning deep-learning neural-network random-forest numpy

Heart disease prediction

Heart Disease prediction using 5 algorithms

✭ 43

Jupyter Notebook machine-learning data-mining random-forest clustering naive-bayes machine-learning-algorithms supervised-learning logistic-regression machinelearning k-nearest-neighbours heart-disease disease-prediction dicision-tree heart-disease-predictor

Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

✭ 41

python machine-learning random-forest dtw scikit-learn classification logistic-regression similarity-measures trajectory-analysis knn trajectory scikitlearn-machine-learning classifiers

STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

✭ 94

Jupyter Notebook python pipeline random-forest prediction stock logistic-regression predictive-analysis stocks adaboost predictive-modeling algorithmic-trading decision-tree svm-classifier quadratic-discriminant-analysis parameter-tuning guassian-processes gridsearchcv knn-classifier

cqr

Conformalized Quantile Regression

✭ 152

Jupyter Notebook python r deep-learning random-forest prediction pytorch fairness quantile-regression conformal-prediction random-forest-regression prediction-intervals algorithmic-fairness conformal-methods

AIML-Projects

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

decision-trees-for-ml

Building Decision Trees From Scratch In Python

✭ 61

Jupyter Notebook python machine-learning random-forest xgboost id3 gbm lightgbm gradient-boosting-machine cart adaboost c45 decision-tree gradient-boosting boosting bagging regression-trees

61-106 of 106 random-forest projects

‹