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128 search results found

Ipl Ml 2018 ⭐ 14

Predicting IPL match results. https://kuharan.github.io/IPL-ML-2018/

Imodels Experiments ⭐ 13

Experiments with experimental rule-based models to go along with imodels.

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

Cortana Intelligence Customer360 ⭐ 13

This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.

Craft Ai Client Python ⭐ 13

craft ai API python 3 client

Df Dn Paper ⭐ 12

Conceptual & empirical comparisons between decision forests & deep networks

Voice4rural ⭐ 12

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

Wink Regression Tree ⭐ 11

Decision Tree to predict the value of a continuous target variable

Starboost ⭐ 11

⭐🚀 Gradient boosting on steroids

Deep Learning Algorithms Implementation ⭐ 11

Implementations of (Deep Learning + Machine Learning) Algorithms

Email Spam Detection ⭐ 11

This project focuses on detecting Persian spam emails using machine learning algorithms. The goal is to develop an effective spam detection system using various word embedding techniques and classification algorithms. The project utilizes three word embedding algorithms: TF-IDF, Frequency of Words, and Bag of Words. Additionally, six classification

Golang Dynamic Decision Tree

Implementation of machine learning and artificial intelligence algorithms in lua with demo using game bot

Sentimentanalysis Python Demo ⭐ 10

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

Decision Trees for Elixir

Projects ⭐ 10

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

Random Forest ⭐ 10

Implementation of a Random Forest classifier in both Python and Scala

A set of tools useful for doing experiments with fuzzy forests

Tidytrees ⭐ 10

tidytrees: a package for a tidy representation of decision trees.

Classicml ⭐ 10

简单易用的经典机器学习框架

Genetictree ⭐ 10

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

Machine Learning Lecture Notes ⭐ 9

Lecture notes and codes for machine learning

Sparkitecture ⭐ 9

A collection of “cookbook-style” scripts for simplifying data engineering and machine learning in Apache Spark.

Top-down induction of first-order logical decision trees: master AI thesis implementation

Foundationalml ⭐ 9

Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.

Nhanes R Programming ⭐ 9

This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc

Decision Tree From Scratch ⭐ 9

Decision Tree Algorithm written in Python with NumPy and Pandas

In Depth Ml ⭐ 9

In depth machine learning resources

Default Of Credit Card Clients Dataset Analisys ⭐ 9

Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.

Automl Js ⭐ 9

Automated machine learning in JavaScript, in browser locally or in node.

Spark Ml Lr Cancer ⭐ 9

Dos Attack Detection Using Machine Learning ⭐ 9

A machine learning program, that detects denial of service attack using machine learning technique.

Decision Trees ⭐ 9

Classification Decision Trees

Disease Prediction Using Machine Learning ⭐ 9

Implementation of various machine learning algorithms to predict the disease from symptoms.

Craft Ai Client Js ⭐ 9

craft ai API isomorphic javascript client

Machine_learning ⭐ 8

Best collection of machine learning & deep learning algorithms implemented from scratch using python.

Network Traffic Classification ⭐ 8

Statistical Methods And Machine Learning In R ⭐ 8

This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

Product Categorization ⭐ 8

Product Categorization with Machine Learning

Randomforests ⭐ 8

Random Forest Library In Python Compatible with Scikit-Learn

Machinelearning_exercises_python_scikit Learn ⭐ 8

Python＆機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き

craft ai team scientific activities

Anchorsonr ⭐ 8

Implementation of the Anchors algorithm: Explain black-box ML models

Randomforests ⭐ 8

C++ implementation of random forests classification, regression, proximity and variable importance.

Machinelearningalgos ⭐ 7

Personal reimplementation of some ML algorithms for learning purposes

Ml In Action ⭐ 7

The site is constantly updated. Machine Learning in Action!

LightGBM + Optuna

Modaldecisiontrees.jl ⭐ 7

Julia implementation of Modal Decision Trees & Forests, for interpretable classification of spatial and temporal data. Long live Symbolic Learning!!

Machine Learning Rare Event Classification ⭐ 7

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

Nba Predictive Analytics ⭐ 7

Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.

Simple_sentence_segment ⭐ 7

A simple sentence segmentation tools

Clickbait Detector ⭐ 7

This repository represent an AI method to classify an article as clickbait or non-clickbait

Coursera Ml ⭐ 7

💡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.

Cpp Examples Ml ⭐ 7

Legacy OpenCV Machine Learning Examples (2.4.x, C++)

Tree Prompt ⭐ 6

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

Coursera Uw Machine Learning Classification ⭐ 6

Notebook for quick search

Paris Traffic Prediction ⭐ 6

Visualization and Prediction model of Paris traffic ( random Forests ) from data published by the OpenData-Paris project

high performance statistic machine learning libraries in C++ [based on Armadillo-9.300]

Scorecast ⭐ 6

http://scorecast-env.eba-dixbcmhw.eu-central-1.ela

Clarusway_machine_learning_course ⭐ 6

This repository contains the Machine Learning lessons I took from the Clarusway Bootcamp between 10 Aug - 14 Sep 2022 and includes 17 sessions, 5 labs, 4 case studies, 5 weekly agendas, and 3 projects.

Onestep Electron Content ⭐ 6

Content for onestep-electron.github.io

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

🐍 algorithm for machine learning

决策树分类与回归模型的实现和可视化

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.

Plot tree based machine learning models

Decision Tree Alg ⭐ 6

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

Woodpecker ⭐ 6

A python library used for tree structure interpretation.

Creditanalytics Loan Prediction ⭐ 6

A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors

q statistical learning

Full-featured Decision Trees and Random Forests learner.

Weatherprediction ⭐ 5

Weather Prediction iOS Application Using Flask API and AI

Pylearning ⭐ 5

Simple high-level machine-learning library in Python

Ml Series Source ⭐ 5

Source code for my ML blog series. Intro: http://benbrostoff.github.io/2017/09/19/why-ml

Dss Plugin Decision Tree Builder ⭐ 5

Dataiku DSS plugin to manually build decision trees and use them to score and evaluate datasets

Regression trees for interval censored output data

Ml_from_scratch ⭐ 5

ML Algorithms from Scratch

Decisiontree ⭐ 5

A Perfect based solution for Decision Tree in Server Side Swift

Depthhead ⭐ 5

Head pose estimation using depth data and a hough forest

My take on data stream ML algorithms implemented by MOA

Source code related to the ILP 2019 paper 'LazyBum: Decision tree learning using lazy propositionalization'

Career Track Data Scientist With Python ⭐ 5

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.

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

Python Machine Learning Models ⭐ 5

Barebones Python implementations of machine learning models, without using machine learning libraries

Syndrome_prediction ⭐ 5

Syndrome Prediction Helps to predict the disease through analysing group of symptoms

Stanford Machine Learning ⭐ 5

My solutions to the assignments in the Machine Learning Specialization offered by Stanford University on Coursera.

Gosdt Guesses ⭐ 5

Generalized Optimal Sparse Decision Trees

Text Classification Ml ⭐ 5

Application of various text classification algorithms on multiple datasets.

Machine Learning In Python ⭐ 5

My learnings on different algorithms of Machine Learning with Python .

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