Projects in Awesome Lists tagged with decision-trees

https://github.com/Microsoft/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r

Last synced: 10 Nov 2024

https://github.com/microsoft/lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r

Last synced: 16 Dec 2024

https://github.com/microsoft/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r

Last synced: 24 Oct 2024

https://github.com/catboost/catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

big-data catboost categorical-features coreml cuda data-mining data-science decision-trees gbdt gbm gpu gpu-computing gradient-boosting kaggle machine-learning python r tutorial

Last synced: 16 Dec 2024

https://github.com/biolab/orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

classification clustering data-mining data-science data-visualization decision-trees machine-learning numpy orange orange3 pandas plotting python random-forest regression scikit-learn scipy visual-programming visualization

Last synced: 16 Dec 2024

https://github.com/susanli2016/machine-learning-with-python

Python code for common Machine Learning Algorithms

decision-trees hierarchical-clustering kmeans-clustering knn-classification lda linear-regression logistic-regression naive-bayes-classifier pca polynomial-regression random-forest svm svr xgboost-algorithm

Last synced: 19 Dec 2024

https://github.com/susanli2016/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

decision-trees hierarchical-clustering kmeans-clustering knn-classification lda linear-regression logistic-regression naive-bayes-classifier pca polynomial-regression random-forest svm svr xgboost-algorithm

Last synced: 08 Nov 2024

https://github.com/greyhatguy007/machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

andrew-ng andrew-ng-machine-learning coursera coursera-assignment coursera-specialization decision-trees deep-learning linear-regression logistic-regression machine-learning mooc neural-network python recommendation-system solutions supervised-machine-learning tensorflow unsupervised-learning unsupervised-machine-learning

Last synced: 17 Dec 2024

https://github.com/tirthajyoti/machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

artificial-intelligence classification clustering data-science decision-trees deep-learning dimensionality-reduction flask k-nearest-neighbours machine-learning matplotlib naive-bayes neural-network numpy pandas pytest random-forest regression scikit-learn statistics

Last synced: 19 Dec 2024

https://github.com/tirthajyoti/Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

artificial-intelligence classification clustering data-science decision-trees deep-learning dimensionality-reduction flask k-nearest-neighbours machine-learning matplotlib naive-bayes neural-network numpy pandas pytest random-forest regression scikit-learn statistics

Last synced: 27 Nov 2024

https://github.com/parrt/dtreeviz

A python library for decision tree visualization and model interpretation.

data-science decision-trees machine-learning model-interpretation python random-forest scikit-learn visualization xgboost

Last synced: 16 Dec 2024

https://github.com/kk7nc/text_classification

Text Classification Algorithms: A Survey

boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing

Last synced: 19 Dec 2024

https://github.com/kk7nc/Text_Classification

Text Classification Algorithms: A Survey

boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing

Last synced: 06 Nov 2024

https://github.com/edyoda/data-science-complete-tutorial

For extensive instructor led learning

decision-trees feature-selection linear-regression machine-learning nearest-neighbors numpy pandas pipeline scikit-learn

Last synced: 20 Dec 2024

https://github.com/justmarkham/dat8

General Assembly's 2015 Data Science course in Washington, DC

clustering course data-analysis data-cleaning data-science data-visualization decision-trees ensemble-learning jupyter-notebook linear-regression logistic-regression machine-learning model-evaluation naive-bayes natural-language-processing pandas python regular-expressions scikit-learn web-scraping

Last synced: 20 Dec 2024

https://github.com/nivu/ai_all_resources

A curated list of Best Artificial Intelligence Resources

artificial-intelligence convolutional-neural-networks data-science decision-trees deep-learning gan kmeans knn machine-learning mathematics neural-networks python random-forest regression reinforcement-learning rnn statistics statquest support-vector-machine tensorflow

Last synced: 02 Nov 2024

https://github.com/tensorflow/decision-forests

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

decision-forest decision-trees gradient-boosting interpretability keras machine-learning ml python random-forest tensorflow

Last synced: 18 Dec 2024

https://github.com/alvinwan/neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

cifar10 cifar100 decision-trees explainability image-classification imagenet interpretability neural-backed-decision-trees neural-networks pretrained-models pretrained-weights pytorch tiny-imagenet

Last synced: 15 Dec 2024

https://github.com/google/yggdrasil-decision-forests

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

cart cli cpp decision-forest decision-trees distributed-computing go gradient-boosting interpretability javascript machine-learning ml pypi python random-forest tensorflow

Last synced: 19 Dec 2024

https://github.com/serengil/chefboost

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

adaboost c45-trees cart categorical-features data-mining data-science decision-trees gbdt gbm gbrt gradient-boosting gradient-boosting-machine gradient-boosting-machines id3 kaggle machine-learning python random-forest regression-tree

Last synced: 12 Nov 2024

https://github.com/dmitryikh/leaves

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

boosting decision-trees go golang lightgbm machine-learning xgboost

Last synced: 13 Nov 2024

https://github.com/mdabros/SharpLearning

Machine learning for C# .Net

adaboost cross-validation csharp decision-trees deep-learning dotnet ensemble-learning gradient-boosting-machine learning machine machine-learning metrics neural-nets opensource random-forest

Last synced: 13 Nov 2024

https://github.com/siboehm/lleaves

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

decision-trees gradient-boosting lightgbm llvm machine-learning python

Last synced: 21 Dec 2024

https://github.com/RGF-team/rgf

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

decision-forest decision-trees ensemble-model kaggle machine-learning ml regularized-greedy-forest rgf

Last synced: 30 Oct 2024

https://github.com/cerlymarco/linear-tree

A python library to build Model Trees with Linear Models at the leaves.

boosting-tree decision-trees linear-models machine-learning model-trees random-forest scikit-learn tree

Last synced: 20 Dec 2024

https://github.com/skylark0924/machine-learning-is-all-you-need

🔥🌟《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!

actor-critic convolutional-neural-networks ddpg decision-trees deep-reinforcement-learning dqn gan k-nearest-neighbours keras logistic-regression lstm naive-bayes-classifier ppo pytorch qlearning random-forest resnet support-vector-machine tensorflow trpo

Last synced: 30 Nov 2024

https://github.com/jmartinezheras/2018-MachineLearning-Lectures-ESA

Machine Learning Lectures at the European Space Agency (ESA) in 2018

anomaly-detection clustering decision-trees deep-learning lecture-material lecture-slides lecture-videos lectures linear-regression machine-learning machinelearning neural-network pca random-forest support-vector-machines text-mining tf-idf topic-modeling

Last synced: 09 Nov 2024

https://github.com/fukuball/fuku-ml

Simple machine learning library / 簡單易用的機器學習套件

classification decision-trees linear-regression logistic-regression machine-learning neural-network perceptron regression support-vector-machines svm

Last synced: 21 Dec 2024

https://github.com/aws-samples/aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

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

Last synced: 16 Nov 2024

https://github.com/RuleBasedIntegration/Rubi

Rubi for Mathematica

decision-trees integration-rules mathematica symbolic-integration

Last synced: 27 Oct 2024

https://github.com/arnaldog12/machine_learning

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

adaboost decision-trees feature-selection kmeans knn linear-discriminant-analysis linear-regression logistic-regression machine-learning machine-learning-algorithms multilinear-regression naive-bayes neural-network polynomial-regression principal-component-analysis python redes-neurais-artificiais regression

Last synced: 18 Dec 2024

https://github.com/rolkra/explore

R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)

data-exploration data-visualisation decision-trees eda r rmarkdown shiny tidy

Last synced: 21 Dec 2024

https://github.com/dlab-berkeley/Machine-Learning-in-R

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

cluster decision-trees dlab-berkeley lasso machine-learning pca random-forest superlearner tutorial xgboost

Last synced: 11 Nov 2024

https://github.com/milaan9/machine_learning_algorithms_from_scratch

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

data-science decision-trees dynamic-time-warping error-functions fitting-algorithm frequentist-methods gaussian-naive-bayes machine-learning machine-learning-algorithms machine-learning-matlab machine-learning-python matlab4datascience naive-bayes-classifier python4datascience random-forest singular-value-decomposition tutor-milaan9 value-iteration-algorithm

Last synced: 17 Dec 2024

https://github.com/michaeldorner/decisiontrees

Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation

decision-trees paper tex theory

Last synced: 02 Dec 2024

https://github.com/dpys/pynets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

brain-connectivity decision-trees dipy dmri ensemble-learning ensemble-sampling fmri fuzzy-logic graph-neural-networks gridsearch multiverse networks networkx nilearn nipype optimization tractography workflow

Last synced: 15 Dec 2024

https://github.com/cpfair/quran-tajweed

Tajweed annotation for the Qur'an

decision-trees islam quran tajweed

Last synced: 20 Nov 2024

https://github.com/dPys/PyNets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

brain-connectivity decision-trees dipy dmri ensemble-learning ensemble-sampling fmri fuzzy-logic graph-neural-networks gridsearch multiverse networks networkx nilearn nipype optimization tractography workflow

Last synced: 12 Nov 2024

https://github.com/CERTCC/SSVC

Stakeholder-Specific Vulnerability Categorization

decision-support decision-trees prioritization vulnerabilities vulnerability vulnerability-management

Last synced: 21 Nov 2024

https://github.com/neurodata/sporf

This is the implementation of Sparse Projection Oblique Randomer Forest

classification cpp decision-trees python r random-forest

Last synced: 17 Nov 2024

https://github.com/asafschers/goscore

Go Scoring API for PMML

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

Last synced: 30 Oct 2024

https://github.com/Gurpartap/statemachine-go

🚦 Declarative Finite-State Machines in Go

decision decision-trees declarative-routing deterministic-finite-automata finite-state-machine fsm go golang state state-machine statecharts statemachine workflow

Last synced: 11 Nov 2024

https://github.com/M-Nauta/ProtoTree

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

computer-vision cvpr2021 decision-trees deep-neural-networks explainability explainable-ai explainable-ml fine-grained-classification fine-grained-visual-categorization interpretability interpretable-deep-learning interpretable-machine-learning pytorch

Last synced: 15 Nov 2024

https://github.com/CN-TU/machine-learning-in-ebpf

This repository contains the code for the paper "A flow-based IDS using Machine Learning in eBPF", Contact: Maximilian Bachl

decision-trees ebpf linux machine-learning tree-based-methods

Last synced: 30 Oct 2024

https://github.com/xiangwang1223/tree_enhanced_embedding_model

TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018

attention-mechanism decision-trees explainable-recommendations www2018 xgboost

Last synced: 08 Nov 2024

https://github.com/tomaszrewak/face-landmarking

Real time face landmarking using decision trees and NN autoencoders

autoencoder computer-vision decision-trees face-detection face-landmarking lips-movement-detection machine-learning opencv real-time

Last synced: 09 Nov 2024

https://github.com/neurodata/treeple

Scikit-learn compatible decision trees beyond those offered in scikit-learn

causal-inference causal-machine-learning cython decision-trees estimation machine-learning python random-forest scikit-learn

Last synced: 21 Dec 2024

https://github.com/chenhongge/RobustTrees

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

adversarial-examples decision-trees gbdt gbm gbrt robust-decision-trees xgboost

Last synced: 30 Oct 2024

https://github.com/trangdata/treeheatr

Heatmap-integrated Decision Tree Visualizations

dataviz decision-trees ggplot heatmap r visualization

Last synced: 13 Nov 2024

https://github.com/packtworkshops/the-deep-learning-with-keras-workshop

An Interactive Approach to Understanding Deep Learning with Keras

artificial-neural-networks classification cross-validation decision-trees hyperparameter-tuning k-means-clustering keras linear-transformation logistic-regression machine-learning magnetic-resonance-imaging model-evaluation model-tuning regression regularization scalars scikit-learn support-vector-machine tensorflow vectors

Last synced: 16 Nov 2024

https://github.com/tirthajyoti/r-stats-machine-learning

Misc Statistics and Machine Learning codes in R

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

Last synced: 09 Nov 2024

https://github.com/neurodata/proglearn

NeuroData's package for exploring and using progressive learning algorithms

classification continual-learning decision-trees deep-learning deep-neural-networks domain-adaptation random-forests transfer-learning

Last synced: 15 Dec 2024

https://github.com/adityashrm21/bike-sharing-demand-kaggle

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

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

Last synced: 11 Nov 2024

https://github.com/aiff22/decision-stream

Clojure implementation of the paper "Decision Stream: Cultivating Deep Decision Trees"

classification decision-stream decision-trees machine-learning machine-learning-algorithms nodes-merging regression two-sample-statistics

Last synced: 18 Nov 2024

https://github.com/hmgomes/adaptiverandomforest

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

classification concept-drift datastream decision-trees ensemble ensemble-learning moa random-forest

Last synced: 23 Nov 2024

https://github.com/mmottl/aifad

AIFAD - Automated Induction of Functions over Algebraic Data Types

algebraic-data-types decision-trees machine-learning ocaml

Last synced: 09 Nov 2024

https://github.com/packtworkshops/the-supervised-learning-workshop

An Interactive Approach to Understanding Supervised Learning Algorithms

classification decision-trees knn matplotlib pandas plots python regression supervised-learning

Last synced: 08 Nov 2024

https://github.com/njtierney/broomstick

:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:

broom decision-trees gbm machine-learning randomforest rpart rstats statistical-learning

Last synced: 28 Oct 2024

https://github.com/nanxstats/stackgbm

🌳 Stacked Gradient Boosting Machines

automl catboost decision-trees ensemble-learning gbdt gbm gradient-boosting lightgbm machine-learning model-stacking xgboost

Last synced: 16 Nov 2024

https://github.com/statmixedml/dgbm

Distributional Gradient Boosting Machines

decision-trees distributional-regression gradient-boosting lightgbm machine-learning normalizing-flow probabilistic-modeling quantile-estimation uncertainty-quantification xgboost

Last synced: 03 Dec 2024

https://github.com/adityashrm21/deep-learning-algorithms-implementation

Implementations of (Deep Learning + Machine Learning) Algorithms

algorithm decision-tree decision-trees deep-learning deep-learning-algorithms implementation implementation-of-algorithms jupyter-notebook keras linear-regression logistic-regression machine-learning multilayer-perceptron neural-networks pytorch restricted-boltzmann-machine tensorflow

Last synced: 11 Nov 2024

https://github.com/sourdoughcat/treegrad

autograd data-mining decision-trees deep-learning deep-neural-decision-forest gbdt gbm lightgbm machine-learning python

Last synced: 09 Dec 2024

https://github.com/chong-z/tree-ensemble-attack

[NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"

adversarial-attacks decision-trees tree-ensembles xgboost-models

Last synced: 17 Nov 2024

https://github.com/ecmwf/ecpoint-calibrate

Interactive GUI (developed in Python) for calibration and conditional verification of numerical weather prediction model outputs.

calibration decision-trees ecmwf meteorology metview python weather-forecast

Last synced: 22 Nov 2024

https://github.com/8bit-pixies/treegrad

autograd data-mining decision-trees deep-learning deep-neural-decision-forest gbdt gbm lightgbm machine-learning python

Last synced: 30 Oct 2024

https://github.com/somjit101/predictive-maintenance-industrial-iot

Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualization we attempt to performance Failure Analysis and Prediction of crucial industrial equipments like Boilers, Pumps, Motors etc. so that necessary actions can be taken by the management for their repair, servicing and optimal performance.

csv-files decision-trees eda failure-prediction feature-selection iot ipython-notebook predictive-maintenance python sensors

Last synced: 11 Oct 2024

https://github.com/cheng-lin-li/machinelearning

Implementations of machine learning algorithm by Python 3

decision-trees fastmap gaussian-mixture-models gmm hmm-viterbi-algorithm kmeans lstm machine-learning machine-learning-algorithms mlp neural-network pca pca-analysis perceptron perceptron-learning-algorithm python3 scikit-learn tensorflow

Last synced: 13 Nov 2024

https://github.com/opt-mucca/pyscipopt-ml

Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs

artificial-intelligence decision-trees keras lightgbm machine-learning mathematical-programming mixed-integer-optimization mixed-integer-programming neural-networks optimization python pytorch sklearn surrogate-models xgboost

Last synced: 07 Nov 2024

https://github.com/navdeep-g/interpretable-ml

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

accountability data-mining data-science decision-trees fairness fatml gradient-boosting-machine iml interpretability interpretable interpretable-ai interpretable-machine-learning interpretable-ml lime machine-learning machine-learning-interpretability python transparency xai

Last synced: 06 Nov 2024

https://github.com/danwild/decision-tree-builder

Build serialisable flowchart-style decision trees with D3.

d3 d3-visualization d3v4 decision-diagrams decision-tree-classifier decision-trees flowchart

Last synced: 16 Oct 2024

https://github.com/winkjs/wink-regression-tree

Decision Tree to predict the value of a continuous target variable

continuous-variable decision-trees machine-learning prediction recursive-partitioning regression-trees

Last synced: 09 Nov 2024

https://github.com/ianwalter/decision-tree

A utility for traversing decision trees by selecting options

decision-trees quizzes tree-traversal

Last synced: 09 Nov 2024

https://github.com/balins/fuzzytree

A Fuzzy Decision Tree implementation for Python.

classification decision-trees fuzzy-logic machine-learning scikit-learn

Last synced: 08 Nov 2024

https://github.com/bgreenwell/MLDay18

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

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

Last synced: 11 Nov 2024

https://github.com/bgreenwell/mlday18

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

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

Last synced: 16 Oct 2024

https://github.com/neurodata/df-dn-paper

Conceptual & empirical comparisons between decision forests & deep networks

classification decision-trees deep-learning deep-neural-networks machine-learning random-forests

Last synced: 10 Nov 2024

https://github.com/adityajn105/mlfromscratch

Library for machine learning where all algorithms are implemented from scratch. Used only numpy.

clustering-algorithm decision-trees ensemble-learning evaluation-metrics from-scratch hacktoberfest implementation-of-algorithms linear-models machine-learning machine-learning-algorithms mlfromscratch naive-bayes

Last synced: 15 Nov 2024

https://github.com/nicolasbizzozzero/fforest

A set of tools useful for doing experiments with fuzzy forests

classification-trees decision-trees forest fuzzy-decision-trees fuzzy-forest fuzzy-search machine-learning pypi-source research research-tool

Last synced: 07 Nov 2024

https://github.com/sakshi-choudhary/voice4rural

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

artificial-intelligence chartjs decision-trees deep-learning fastapi hackathon javascript machine-learning mongodb natural-language-processing pandas python reactjs scikit-learn tensorflow

Last synced: 06 Nov 2024

https://github.com/zhenye-na/coursera-ml

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

andrew-ng andrew-ng-course andrew-ng-machine-learning anomaly-detection coursera decision-trees deep-learning deep-neural-networks kernel-functions linear-regression logistic-regression machine-learning principal-component-analysis support-vector-machines

Last synced: 12 Nov 2024

https://github.com/kwokhing/sentimentanalysis-python-demo

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

bert-model cross-validation data-analysis decision-trees deep-learning lexicon-based lstm-sentiment-analysis machine-learning machine-learning-algorithms naive-bayes naive-bayes-classifier random-forest sentiment-analysis sentiment-classification sklearn supervised-learning supervised-machine-learning support-vector-machines svm vader-sentiment-analysis

Last synced: 02 Dec 2024

https://github.com/Entscheider/stamm

Generic decision trees for rust

decision-tree decision-trees random-forest regression-trees rust

Last synced: 29 Nov 2024

https://github.com/MoganaD/Machine-Learning-on-Breast-Cancer-Survival-Prediction

We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast cancer survival rate. This repository contains R source codes for 5 steps which are, model evaluation, Random Forest further modelling, variable importance, decision tree and survival analysis. These can be a pipeline for researcher who are interested to conduct studies on survival prediction of any type of cancers using multi model data.

breast-cancer-prediction cancer-data decision-trees machine-learning prediction-model survival-analysis variable-importance

Last synced: 20 Nov 2024

https://github.com/mohd-faizy/career-track-data-scientist-with-python

This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.

data-science data-visualization datascience-machinelearning datasciencecoursera datascientist datascientisttraining decision-trees hypothesis hypothesis-testing machine-learning machine-learning-algorithms nlp-machine-learning numpy pandas python scikit-learn seaborn statistical

Last synced: 28 Oct 2024

https://github.com/kaslanarian/pydt

决策树分类与回归模型的实现和可视化

decision-trees machine-learning prune visualization

Last synced: 18 Nov 2024

https://github.com/somjit101/facebook-friend-recommendation

This is a friend recommendation systems which are used on social media platforms (e.g. Facebook, Instagram, Twitter) to suggest friends/new connections based on common interests, workplace, common friends etc. using Graph Mining techniques. Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media platforms and a directed edges (or 'links') indicates that one person 'follows' the other, or are 'friends' on social media. Now, the task is to predict newer edges to be offered as 'friend suggestions'.

bagging-ensemble boosting-ensemble cross-validation decision-tree-classifier decision-trees facebook-friend-recommendation gradient-boosting graph graph-algorithms graph-similarity graph-theory machine-learning randomizedsearchcv social-network social-network-analysis xgboost

Last synced: 16 Nov 2024

https://github.com/tlapusan/woodpecker

A python library used for tree structure interpretation.

decision-trees machine-learning random-forest scikit-learn sklearn visualization

Last synced: 24 Oct 2024

https://github.com/kafisatz/decisiontrees.jl

Julia Decision Tree Algorithms for Regression

actuarial boosting-algorithms decision-trees decisiontree decisiontrees ensemble-machine-learning julia julialang regression

Last synced: 11 Nov 2024

https://github.com/jordicorbilla/ddm

Distributed decision-making system with Jade and Weka

agent artificial-intelligence ddm decision-trees distributed-systems jade java neural-network tree-ensembles weka

Last synced: 10 Oct 2024

https://github.com/neurodata/sdtf

Exploring streaming options for decision trees and random forests. Based on scikit-learn fork.

classification decision-trees machine-learning streaming-data

Last synced: 10 Nov 2024

https://github.com/brightmart/machine_learning

machine learning applied to NLP without deep learning

decision-trees gbdt naive-bayes-classifier

Last synced: 09 Nov 2024

https://github.com/kiritoind/machinelearning-coursera-course-codes

Tools for machine learning from two courses machine learning specialization and deep learning specialization

algorithms andrew-ng artificial-intelligence convolutional-neural-networks decision-trees deep-learning gru hyperparameter-tuning jupyter-notebook linear-regression logistic-regression lstm-neural-networks machine-learning reinforcement-learning supervised-learning transformer unsupervised-learning

Last synced: 09 Nov 2024

https://github.com/ivangrigorov/decision-tree-alg

Creating a decision tree platform for different types of data. No pruning is available yet.

artificial-intelligence csharp decision-trees machine-learning machine-learning-algorithms

Last synced: 13 Dec 2024

https://github.com/simplyyan/galaktaglare

A broad, easy and fast framework for machine/deep learning in Go.

algorithms analysis analytics anomaly-detection automation bash data-science decision-trees deep-learning deep-neural-networks go golang image-classification image-processing machine-learning machine-learning-algorithms nlp text-classification tts voice-recognition

Last synced: 09 Oct 2024

https://github.com/manojlds/thepill

Decision Trees with Neo4J

decision-trees graph neo4j neo4j-plugin

Last synced: 07 Nov 2024

https://github.com/samarjitsahoo/machine_learning

Machine learning is a branch of artificial intelligence that enables systems to learn and make decisions from data without explicit programming. It involves developing algorithms and models that can recognize patterns, make predictions, and improve over time based on experience. Machine learning applications span a variety of diverse domains.

ai artificial-intelligence classification decision-trees linear-regression machine-learning supervised-learning unsupervised-learning