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37 search results found

Orange3 ⭐ 4,469

🍊 📊 💡 Orange: Interactive data analysis

Machine Learning With Python ⭐ 2,980

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

Text_classification ⭐ 1,621

Text Classification Algorithms: A Survey

Cloudforest ⭐ 705

Ensembles of decision trees in go/golang.

Sharplearning ⭐ 372

Machine learning for C# .Net

Decisiontree.jl ⭐ 326

Julia implementation of Decision Tree (CART) and Random Forest algorithms

Fuku Ml ⭐ 278

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

Fastbdt ⭐ 237

Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface

Tiny_ml ⭐ 137

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

This is the implementation of Sparse Projection Oblique Randomer Forest

Betaml.jl ⭐ 83

Beta Machine Learning Toolkit

Multi Matcher ⭐ 70

simple rules engine

Ruby Scoring API for PMML

I will implement Fastai in each projects present in this repository.

Go Scoring API for PMML

TiMBL implements several memory-based learning algorithms.

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

A python implementation of C4.5 algorithm by R. Quinlan

Proglearn ⭐ 33

NeuroData's package for exploring and using progressive learning algorithms

Machine Learning Course at IIT Bhilai

R Stats Machine Learning ⭐ 25

Misc Statistics and Machine Learning codes in R

Skin Detection Example ⭐ 25

Simple pixelwise skin detection using classification tree.

Soft Tree ⭐ 24

Soft Decision Trees (code for ICPR 21 paper)

Python Module for decision tree based hierarchical multi-classification

Machine_learing_algo_python ⭐ 21

implement the machine learning algorithms by python for studying

Machine Learning Techniques ⭐ 20

Repository containing introduction to the main methods and models used in machine learning problems of regression, classification and clustering.

Decision Stream ⭐ 19

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

Randomforest Machinelearning ⭐ 18

Python package for analysing data using machine learning techniques. Provides implementations of different kinds of decision trees and random forests in order to solve classification problems.

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, ...).

Supervised Machine Learning ⭐ 15

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 Lasso and Ridge regressions.

Machine Learning Using Python ⭐ 15

Regression, Classification and Clustering

Machine_learning_from_scratch ⭐ 15

Machine Learning models from scratch with a better visualisation

Quick Data Science Experiments 2017 ⭐ 14

Quick-Data-Science-Experiments

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Adaptiverandomforest ⭐ 14

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

The Supervised Learning Workshop ⭐ 13

An Interactive Approach to Understanding Supervised Learning Algorithms

Decision Trees ⭐ 12

Python Implementation of the Machine Learning Decision Tree Algorithm for Classification problems.

Df Dn Paper ⭐ 12

Conceptual & empirical comparisons between decision forests & deep networks

A data mining tool for Rails 3

Decision Tree In Python ⭐ 10

Example of Decision Tree Classifier and Regressor in Python.

Genetictree ⭐ 10

Constructing decision trees with genetic algorithm with a scikit-learn inspired API

Projects ⭐ 10

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

Mobile Price Prediction Classification Analysis ⭐ 10

Supervised Machine Learning Analysis Using Classification Models

Java Decision Forest ⭐ 9

Package implements decision tree and isolation forest

Decision Trees ⭐ 9

Classification Decision Trees

Iris_classification ⭐ 8

Iris classification with Python Scikit-learn 🌼

Randomforests ⭐ 8

Random Forest Library In Python Compatible with Scikit-Learn

Gender Voice Recognition_machine Learning ⭐ 6

Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)

Cic Ids 2018 Intrusion Detection Classification ⭐ 6

Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the CIC IDS 2018 dataset for training Machine Learning network intrusion detection classifier models.

Tree Prompt ⭐ 6

Tree prompting: easy-to-use scikit-learn interface for improved prompting.

Coursera Uw Machine Learning Classification ⭐ 6

Notebook for quick search

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

Spollineages ⭐ 5

Rapid and precise prediction of Mycobacterium tuberculosis complex families

Malware_classification_final_project ⭐ 5

Yossi Mandil & Tomer Gill's Bachelor Degree Final Project under the BIU Cyber Center - Malware & Benign File Classification using Machine Learning & Deep Learning

Machine Learning Bootcamp ⭐ 5

A beginner friendly ML course designed by us at Hermes AI Center for everyone with no prior knowledge in computer science concepts.

q statistical learning

Code & experiments for MINDWALC: Mining Interpretable, Discriminative Walks for Classification of Nodes in a Graph

Machine Learning Practice ⭐ 5

Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.

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