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Search results for python random forest
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177 search results found
Tpot
⭐
9,463
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
H2o 3
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6,618
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Orange3
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4,469
🍊 📊 💡 Orange: Interactive data analysis
Flaml
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3,500
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Mljar Supervised
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2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Dtreeviz
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2,720
A python library for decision tree visualization and model interpretation.
Awesome Decision Tree Papers
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2,266
A collection of research papers on decision, classification and regression trees with implementations.
Benchm Ml
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1,839
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Text_classification
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1,621
Text Classification Algorithms: A Survey
Awesome Fraud Detection Papers
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1,364
A curated list of data mining papers about fraud detection.
Gcforest
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1,242
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Smac3
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938
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Awesome Gradient Boosting Papers
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930
A curated list of gradient boosting research papers with implementations.
Deep Forest
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823
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Ai_all_resources
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647
A curated list of Best Artificial Intelligence Resources
Decision Forests
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635
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Rrcf
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450
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
Chefboost
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428
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
Yggdrasil Decision Forests
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403
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Machine Learning Is All You Need
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337
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Emlearn
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327
Machine Learning inference engine for Microcontrollers and Embedded devices
Handson Ml
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277
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Miceforest
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265
Multiple Imputation with LightGBM in Python
The Python Workshop
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245
A New, Interactive Approach to Learning Python
Shapley
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198
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Prophitbet Soccer Bets Predictor
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192
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
Cudatree
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183
Building random forests on GPU
Handwritten Digit Recognition Using Deep Learning
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158
Handwritten Digit Recognition using Machine Learning and Deep Learning
The Data Science Workshop
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156
A New, Interactive Approach to Learning Data Science
Textclassification
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153
several methods for text classification
Flight Price Prediction
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136
Now you can get Flight ticket fare with this wonderful end to end project.
Tpot2
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118
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
How To Score 0.8134 In Titanic Kaggle Challenge
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105
Solution of the Titanic Kaggle competition
Sporf
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98
This is the implementation of Sparse Projection Oblique Randomer Forest
Bp Network
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71
Multi-Classification on dataset of MNIST
Quantile Forest
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70
Quantile Regression Forests compatible with scikit-learn.
Click Through Rate Prediction
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60
📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms
Predicting_real_estate_prices_using_scikit Learn
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59
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Ddos Attack Detection And Mitigation
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58
SDN networks (Software Defined Networking ) are exposed to new security threats and attacks, especially Distributed Denial of Service (DDoS) attacks. For this aim, we have proposed a model able to detect and mitigate attacks automatically in SDN networks using Machine Learning (ML)
Nowtrade
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57
Python library for backtesting technical/mechanical strategies in the stock and currency markets
Droiddetective
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56
A machine learning malware analysis framework for Android apps.
Eforest
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55
This is the official implementation for the paper 'AutoEncoder by Forest'
Scikit Tree
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51
Scikit-learn compatible decision trees beyond those offered in scikit-learn
Random Survival Forest
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50
A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
Cryptopredictions
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49
CryptoCurrency prediction using machine learning and deep learning
Heart_disease_prediction
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49
Heart Disease prediction using 5 algorithms
Randomforest
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49
Python implementation of a random forest for use with continuous value attributes
25daysinmachinelearning
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48
I will update this repository to learn Machine learning with python with statistics content and materials
Treelearn
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47
Ensembles and Tree Learning Algorithms for Python
Nsforest
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40
A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing
2020plus
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39
Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
Malware_detect2
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38
Malware Classification using Machine learning
Random Forest Mc
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38
Random Forest with Dynamic Tree Selection Monte Carlo Based (RF-TSMC).
Eurekatrees
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37
Visualizes the Random Forest debug string from the MLLib in Spark using D3.js
Skranger
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37
scikit-learn compatible Python bindings for ranger C++ random forest library
Twitter_geolocation
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35
Geolocating twitter users by the content of their tweets
Cnn Svm Classifier
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29
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
Ml_segmentation
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29
Machine learning semantic segmentation - Random Forest, SVM, GBC
Machinelearningseries
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28
Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
Arboreto
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27
A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
Breast Cancer Scikitlearn
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27
simple tutorial on Machine Learning with Scikitlearn
Urb Studies Predicting Gentrification
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27
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".
Stock Market Analysis
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27
Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
Landsat Time Series Analysis For Multi Temporal Land Cover Classification
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26
LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development for automation of the process.
Machinelearning_breastcancer_python
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26
Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn
Memology
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26
Memes - why so popular?
Machine Learning Models
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26
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Github Stars Predictor
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25
It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.
Pykitml
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25
Machine Learning library written in Python and NumPy.
Trajectory Analysis And Classification In Python Pandas And Scikit Learn
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25
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 trajectories.
Te2rules
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25
Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
Us Transportationmode
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24
Transportation Mode Detection with Unconstrained Smartphones Sensors
Disentangled Attribution Curves
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23
Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
Ml Algorithms
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22
List of some top machine learning algorithms. Just give a dive and explore the world of ML
Clarktech Ncaab Predictor
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22
A machine learning project to predict NCAA Men's Basketball outcomes
Predictingclosingpricetomorrow
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22
Predict the change in closing price from one trading day to the next into one of four bands for any stock using technical indicators and financial ratios as features.
Shapley_regressions
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22
Statistical inference on machine learning or general non-parametric models
Airline Passenger Satisfaction
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21
Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.
Credit Scoring Model
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21
Credit scoring machine learning algorithm which predicts probability of default
Varca
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20
Use an ensemble of variant callers to call variants from ATAC-seq data
Data Mining Project
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20
Recognizing human activity using multiple wearable accelerometer sensors placed at different body positions.
Fault Detection For Predictive Maintenance In Industry 4.0
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19
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
Pidginv2
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18
PIDGIN Version 2: Prediction IncluDinG INactivity: Version 2 (LEGACY VERSION)
Hdb_resale_prices
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18
Predicted and identified the drivers of Singapore HDB resale prices (2015-2019) with 0.96 Rsquare & $20,000 MAE. Web app deployment using Streamlit for user price prediction.
Qunosy
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18
Personal Gunosy for Qiita
Simple Implementation Of Ml Algorithms
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17
My simplest implementations of common ML algorithms
Deepforest
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17
upgrade official version of gcForest v1.0.
Ensemble Time Series
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17
Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) layer and trained using Genetic Algorithms
Pyxai
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17
PyXAI (Python eXplainable AI) is a Python library (version 3.6 or later) allowing to bring formal explanations suited to (regression or classification) tree-based ML models (Decision Trees, Random Forests, Boosted Trees, ...).
Dlime_experiments
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16
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).
Forecast Of Time Series With Stock Data
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16
Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets
Wind Power Forecasting
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16
Wind Power Forecasting using Machine Learning techniques.
Randomforest Density Python
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16
Random Forests for Density Estimation in Python
Text Classification Benchmark
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16
文本分类基准测试
Medical Cost Prediction
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15
Predict your Medical insurance cost!
Aqi Delhi
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15
Predicting air pollution level in a specific city
Machine Learning Siem Water Infrastructure
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15
This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-attacks) in SCADA water infrastructure.
Machine Learning Using Python
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15
Regression, Classification and Clustering
Prostate Cancer Detection
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15
Detects and Predicts the presence of Prostate Cancer in a patient
Deltavina
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14
DeltaVina scoring function
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