Topic: decision-tree Goto Github
Some thing interesting about decision-tree
Some thing interesting about decision-tree
decision-tree,a python interface to OC1 and other oblique decision tree implementations
User: andriymulyar
decision-tree,Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning algorithms,all are implemented with Python(sklearn-decision-tree-prune included,All are finished).
User: appleyuchi
decision-tree,Ruby Scoring API for PMML
User: asafschers
decision-tree,A collection of research papers on decision, classification and regression trees with implementations.
User: benedekrozemberczki
decision-tree,A curated list of gradient boosting research papers with implementations.
User: benedekrozemberczki
decision-tree,Includes top ten must know machine learning methods with R.
User: bkrai
Home Page: https://www.youtube.com/playlist?list=PL34t5iLfZddsQ0NzMFszGduj3jE8UFm4O
decision-tree,Boosted trees in Julia
Organization: evovest
Home Page: https://evovest.github.io/EvoTrees.jl/dev/
decision-tree,numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
User: fengyang95
decision-tree,A day to day plan for this challenge. Covers both theoritical and practical aspects
User: harunurrashid97
decision-tree,(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
User: hmohebbi
decision-tree,ID3-based implementation of the ML Decision Tree algorithm
User: igrigorik
decision-tree,:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
User: jack-cherish
Home Page: https://cuijiahua.com/blog/ml/
decision-tree,Interactive Q&A Guides for Web and the Command Line.
User: jamiemason
Home Page: https://jamiemason.github.io/self-help/
decision-tree,Simple implementation of CART algorithm to train decision trees
User: joachimvalente
decision-tree,Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
User: jphall663
decision-tree,Julia implementation of Decision Tree (CART) and Random Forest algorithms
Organization: juliaai
decision-tree,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
User: kennedyczar
decision-tree,An open source Unity package for creating Decision Trees with a visual editor. The package comes with some samples to help teach users how to use it and an action manager to handle executing the results of the decision tree.
User: kierancoppins
decision-tree,Small JavaScript implementation of ID3 Decision tree
User: lagodiuk
decision-tree, TiMBL implements several memory-based learning algorithms.
Organization: languagemachines
Home Page: https://languagemachines.github.io/timbl
decision-tree,This repo contains Jupyter Notebooks, miscellaneous stuff.
User: likejazz
decision-tree,Three MIP models for optimal classification tree: OCT, binOCT, flowOCT
User: lucasbotang
decision-tree,A python implementation of the CART algorithm for decision trees
User: lucksd356
decision-tree,M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
User: mbeyeler
decision-tree,A Generic Low-Code Framework Built on a Config-Driven Tree Walker
Organization: microsoft
decision-tree,I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
User: milaan9
decision-tree,Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Organization: mljar
Home Page: https://mljar.com
decision-tree,I will update this repository to learn Machine learning with python with statistics content and materials
User: nursnaaz
decision-tree,A lightweight decision making library for game AI.
User: oguzeroglu
decision-tree,Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
User: pengzhaoqing
decision-tree,Explore and compare 1K+ accurate decision trees in your browser!
Organization: poloclub
Home Page: https://poloclub.github.io/timbertrek
decision-tree,simple rules engine
User: richardstartin
Home Page: https://richardstartin.github.io/posts/classifying-documents
decision-tree,A fast and easy to use decision tree learner in java
User: sanity
Home Page: http://quickml.org/
decision-tree,Building Decision Trees From Scratch In Python
User: serengil
Home Page: https://sefiks.com/tag/decision-tree/
decision-tree,Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)
Organization: seung-lab
decision-tree,• Proposed system enhances user experience by providing a recommendation in travel domain more specifically for food, hotel and travel places to provide user with various sets of options like time based, nearby places, rating based, user personalized suggestions, etc.M RECOMMENDATION METHODS : • Near-by Recommendation Algorithm - KNN Algorithm • Rating based and Price based Recommendation Algorithm - K-Means algorithm • User personalized recommendation Algorithm - Classification - Decision tree using Gini index • Time based Recommendation Algorithm - Using Data Mining Technology - Python, Django Framework, ML Algorithms, Graphlab Ipython (For Proof of Concept)
User: shr1911
decision-tree,Algorithmic trading using machine learning.
User: sravb
decision-tree,Configuration files, examples and tools for the Machine Learning Core feature (MLC) available in STMicroelectronics MEMS sensors. Some examples of devices including MLC: LSM6DSOX, LSM6DSRX, ISM330DHCX, IIS2ICLX, LSM6DSO32X, ASM330LHHX, LSM6DSV16X, LIS2DUX12, LIS2DUXS12, LSM6DSV16BX, ASM330LHHXG1, LSM6DSV32X
Organization: stmicroelectronics
decision-tree,Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
User: tatevkaren
decision-tree,Essential NLP & ML, short & fast pure Python code
Organization: textgain
decision-tree,I will implement Fastai in each projects present in this repository.
User: thinamxx
decision-tree,机器学习与深度学习算法示例
User: wasim37
decision-tree,Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Organization: western-oc2-lab
decision-tree,PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
User: xuyxu
Home Page: https://arxiv.org/abs/1711.09784
decision-tree,Math behind all the mainstream tree-based machine learning models
User: yc-coder-chen
decision-tree,A toolkit for extracting comprehensible rules from tree-based algorithms
User: yimeng-zhang
decision-tree,implement the machine learning algorithms by python for studying
User: zhaoyichanghong
decision-tree,A repository for recording the machine learning code
User: zlxy9892
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