Topic: decision-trees Goto Github
Some thing interesting about decision-trees
Some thing interesting about decision-trees
decision-trees,Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
User: alvinwan
Home Page: https://nbdt.aaalv.in
decision-trees,Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
User: arnaldog12
decision-trees,Go Scoring API for PMML
User: asafschers
decision-trees,Machine Learning University: Decision Trees and Ensemble Methods
Organization: aws-samples
decision-trees,A python implementation of C4.5 algorithm by R. Quinlan
User: barisesmer
decision-trees,🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Organization: biolab
Home Page: https://orangedatamining.com
decision-trees,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.
Organization: catboost
Home Page: https://catboost.ai
decision-trees,A python library to build Model Trees with Linear Models at the leaves.
User: cerlymarco
decision-trees,Stakeholder-Specific Vulnerability Categorization
Organization: certcc
Home Page: https://certcc.github.io/SSVC/
decision-trees,This repository contains the code for the paper "A flow-based IDS using Machine Learning in eBPF", Contact: Maximilian Bachl
Organization: cn-tu
Home Page: https://arxiv.org/abs/2102.09980
decision-trees,Tajweed annotation for the Qur'an
User: cpfair
decision-trees,Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
User: cynthiakoopman
decision-trees,Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
Organization: dlab-berkeley
Home Page: https://dlab-berkeley.github.io/Machine-Learning-in-R/slides.html
decision-trees,pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
User: dmitryikh
decision-trees,A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
User: dpys
Home Page: https://pynets.readthedocs.io/en/latest/
decision-trees,For extensive instructor led learning
Organization: edyoda
Home Page: https://www.edyoda.com/program/data-scientist-program
decision-trees,Simple machine learning library / 簡單易用的機器學習套件
User: fukuball
Home Page: https://github.com/fukuball/FukuML-Tutorial
decision-trees,A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Organization: google
Home Page: https://ydf.readthedocs.io/
decision-trees, Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
User: greyhatguy007
decision-trees,🚦 Declarative Finite-State Machines in Go
User: gurpartap
decision-trees,[DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance
Organization: ibcnservices
decision-trees,Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
User: jayshah19949596
decision-trees,Machine Learning Lectures at the European Space Agency (ESA) in 2018
User: jmartinezheras
decision-trees,General Assembly's 2015 Data Science course in Washington, DC
User: justmarkham
decision-trees,Text Classification Algorithms: A Survey
User: kk7nc
decision-trees,ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
User: m-nauta
decision-trees,Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
User: mayurji
decision-trees,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)
User: mbkraus
decision-trees,Machine learning for C# .Net
User: mdabros
decision-trees,Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
User: michaeldorner
decision-trees,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.
Organization: microsoft
Home Page: https://lightgbm.readthedocs.io/en/latest/
decision-trees,This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.
User: milaan9
decision-trees,This is the implementation of Sparse Projection Oblique Randomer Forest
Organization: neurodata
Home Page: https://neurodata.io/forests/
decision-trees,Machine Learning Cheatsheet 2024
User: nikitaprasad21
decision-trees,A curated list of Best Artificial Intelligence Resources
User: nivu
decision-trees,A python library for decision tree visualization and model interpretation.
User: parrt
decision-trees,Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
User: psaris
Home Page: https://fun-q.net
decision-trees,2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
User: quocviethere
decision-trees,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.
Organization: rgf-team
decision-trees,Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
User: rojaachary
decision-trees,R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
User: rolkra
Home Page: https://rolkra.github.io/explore/
decision-trees,Rubi for Mathematica
Organization: rulebasedintegration
Home Page: http://rulebasedintegration.org
decision-trees,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
User: serengil
Home Page: https://www.youtube.com/watch?v=Z93qE5eb6eg&list=PLsS_1RYmYQQHp_xZObt76dpacY543GrJD&index=3
decision-trees,Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
User: siboehm
Home Page: https://lleaves.readthedocs.io/en/latest/
decision-trees,Software for creating and analyzing decision trees.
Organization: silverdecisions
decision-trees,🔥🌟《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!
User: skylark0924
decision-trees,Python code for common Machine Learning Algorithms
User: susanli2016
decision-trees,Beta Machine Learning Toolkit
User: sylvaticus
decision-trees,A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Organization: tensorflow
decision-trees,Practice and tutorial-style notebooks covering wide variety of machine learning techniques
User: tirthajyoti
Home Page: https://machine-learning-with-python.readthedocs.io/en/latest/
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