Projects in Awesome Lists tagged with decision-tree

https://github.com/jack-cherish/machine-learning

: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

adaboost adaboost-algorithm decision-tree knn logistic machine-learning navie-bayes-algorithm python python3 regression smo svm

Last synced: 13 May 2025

https://github.com/Jack-Cherish/Machine-Learning

: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

adaboost adaboost-algorithm decision-tree knn logistic machine-learning navie-bayes-algorithm python python3 regression smo svm

Last synced: 18 Apr 2025

https://github.com/mljar/mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

automated-machine-learning automl automl-api automl-python catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar neural-network random-forest scikit-learn xgboost

Last synced: 12 May 2025

https://github.com/igrigorik/decisiontree

ID3-based implementation of the ML Decision Tree algorithm

decision-tree machine-learning ruby rubyml

Last synced: 14 May 2025

https://github.com/mbeyeler/opencv-machine-learning

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

bayesian-learning classifying-handwritten-digits conda-environment decision-tree jupyter-notebook machine-learning opencv python support-vector-machine

Last synced: 16 May 2025

https://github.com/jphall663/interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

accountability data-mining data-science decision-tree fairness fatml gradient-boosting-machine h2o iml interpretability interpretable interpretable-ai interpretable-machine-learning interpretable-ml lime machine-learning machine-learning-interpretability python transparency xai

Last synced: 16 May 2025

https://github.com/Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

autonomous-vehicles bayesian-optimization catboost cicids2017 cyber-security decision-tree ensemble-learning hpo hyperparameter-optimization intrusion-detection intrusion-detection-system kmeans lightgbm machine-learning network-security python-examples random-forest stacking xgboost

Last synced: 21 Jul 2025

https://github.com/juliaai/decisiontree.jl

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

classification decision-tree julia machine-learning random-forests regression

Last synced: 16 May 2025

https://github.com/microsoft/Forge

A Generic Low-Code Framework Built on a Config-Driven Tree Walker

async config config-driven csharp decision-tree dynamic forge generic low-code microsoft netstandard20 persisted-state roslyn stateful tree-visualization treewalker ui workflow-engine workflow-framework

Last synced: 31 Mar 2025

https://github.com/microsoft/forge

A Generic Low-Code Framework Built on a Config-Driven Tree Walker

async config config-driven csharp decision-tree dynamic forge generic low-code microsoft netstandard20 persisted-state roslyn stateful tree-visualization treewalker ui workflow-engine workflow-framework

Last synced: 12 Apr 2025

https://github.com/lagodiuk/decision-tree-js

Small JavaScript implementation of ID3 Decision tree

decision-tree machine-learning random-forest

Last synced: 03 Apr 2025

https://github.com/milaan9/python_decision_tree_and_random_forest

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.

cart-algorithm decision-tree decision-tree-algorithm decision-tree-classification decision-tree-classifier decision-tree-id3 decision-tree-playgolf dtreeviz graphviz id3-algorithm iris-classification python-decision-tree python-decisiontreeclassifier python-tutorial-github python-tutorial-notebook python4beginner python4datascience python4everybody random-forest tutor-milaan9

Last synced: 23 Oct 2025

https://github.com/milaan9/Python_Decision_Tree_and_Random_Forest

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.

cart-algorithm decision-tree decision-tree-algorithm decision-tree-classification decision-tree-classifier decision-tree-id3 decision-tree-playgolf dtreeviz graphviz id3-algorithm iris-classification python-decision-tree python-decisiontreeclassifier python-tutorial-github python-tutorial-notebook python4beginner python4datascience python4everybody random-forest tutor-milaan9

Last synced: 04 May 2025

https://github.com/sanity/quickml

A fast and easy to use decision tree learner in java

decision-tree java machine-learning random-forest

Last synced: 09 Apr 2025

https://github.com/harunurrashid97/100-Days-Of-ML-Code

A day to day plan for this challenge. Covers both theoritical and practical aspects

100-days-of-code 100daysofmlcode article data-preprocessing data-science datascience decision-tree eda exploratory-data-analysis implementation infographics linear-regression machine-learning machine-learning-algorithms python regression-algorithms siraj-raval-challenge textsummarization tutorials vizualization

Last synced: 19 Jul 2025

https://github.com/evovest/evotrees.jl

Boosted trees in Julia

boosted-trees decision-tree gbrt gradient-boosting gradientboosting julia logistic machine-learning poisson quantile regression

Last synced: 16 May 2025

https://github.com/Evovest/EvoTrees.jl

Boosted trees in Julia

boosted-trees decision-tree gbrt gradient-boosting gradientboosting julia logistic machine-learning poisson quantile regression

Last synced: 04 May 2025

https://github.com/oguzeroglu/ego

A lightweight decision making library for game AI.

decision-making decision-tree game-ai game-engine javascript state-machine threejs webgl

Last synced: 21 Apr 2025

https://github.com/poloclub/timbertrek

Explore and compare 1K+ accurate decision trees in your browser!

decision-tree interactive-visualizations interpretability rashomon visualization

Last synced: 13 May 2025

https://github.com/tatevkaren/data-science-popular-algorithms

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.

data-science-portfolio datascience decision-tree kmeans lda lda-model linear-discriminant-analysis machine-learning movie-recommender python3 recommendation-system scala xgboost

Last synced: 10 Apr 2025

https://github.com/sravb/algorithmic-trading

Algorithmic trading using machine learning.

algorithmic-trading data-mining data-science decision-tree google-finance machine-learning matplotlib pandas python scikit-learn scipy stock

Last synced: 12 Apr 2025

https://github.com/xuyxu/soft-decision-tree

PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

classification-trees decision-tree deep-learning pytorch tree

Last synced: 14 Apr 2025

https://github.com/s-marton/GRANDE

(ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

decision-tree decision-trees gradient-descent tabular-data tree-ensemble tree-ensembles

Last synced: 04 Feb 2026

https://github.com/zlxy9892/ml_code

A repository for recording the machine learning code

apriori artificial-intelligence bayesian clustering cv decision-tree deep-learning k-means keras knn logistic-regression machine-learning mnist neural-network nlp pca scikit-learn sklearn svd tensorflow

Last synced: 22 Jul 2025

https://github.com/richardstartin/multi-matcher

simple rules engine

classification classifier decision-table decision-tree

Last synced: 09 Mar 2026

https://github.com/asafschers/scoruby

Ruby Scoring API for PMML

classification decision-tree gbm gradient-boosted-models gradient-boosting-classifier machine-learning naive-bayes pmml random-forest ruby ruby-gem rubyml

Last synced: 09 Apr 2025

https://github.com/lucasbotang/optimal_classification_trees

Three MIP models for optimal classification tree: OCT, binOCT, flowOCT

binoct decision-tree flowoct mip oct optimal-classification-tree optimization

Last synced: 27 Aug 2025

https://github.com/serengil/decision-trees-for-ml

Building Decision Trees From Scratch In Python

adaboost bagging boosting c45 cart decision-tree gbm gradient-boosting gradient-boosting-machine id3 lightgbm machine-learning random-forest regression-trees xgboost

Last synced: 04 Apr 2025

https://github.com/likejazz/jupyter-notebooks

This repo contains Jupyter Notebooks, miscellaneous stuff.

data-science decision-tree deep-learning jupyter-notebook keras machine-learning nlp pytorch random-forest statistics tensorflow

Last synced: 13 Jun 2025

https://github.com/pengzhaoqing/kdd99-scikit

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

confusion-matrix decision-tree intrusion-detection kdd99 mlp scikit-learn

Last synced: 02 Sep 2025

https://github.com/KieranCoppins/Decision-Tree-Package

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.

ai decision-tree graph-editor package unity unity-editor unity-package unity-plugin unity3d visual-editor

Last synced: 02 Apr 2025

https://github.com/kierancoppins/decision-tree-package

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.

ai decision-tree graph-editor package unity unity-editor unity-package unity-plugin unity3d visual-editor

Last synced: 02 May 2025

https://languagemachines.github.io/timbl/

TiMBL implements several memory-based learning algorithms.

c-plus-plus classification decision-tree ib1 ib1-ig igtree k-nearest-neighbours knn learning-algorithm learning-algorithms machine-learning nearest-neighbours timbl

Last synced: 08 May 2025

https://github.com/languagemachines/timbl

TiMBL implements several memory-based learning algorithms.

c-plus-plus classification decision-tree ib1 ib1-ig igtree k-nearest-neighbours knn learning-algorithm learning-algorithms machine-learning nearest-neighbours timbl

Last synced: 07 Apr 2025

https://github.com/andriymulyar/sklearn-oblique-tree

a python interface to OC1 and other oblique decision tree implementations

cart-linear-combinations decision-tree oblique-classifier-1 oblique-decision-tree oc1 scikit-learn

Last synced: 22 Mar 2025

https://github.com/yimeng-zhang/rule_extraction_from_trees

A toolkit for extracting comprehensible rules from tree-based algorithms

data-mining decision-tree machine-learning rule-extraction rule-mining

Last synced: 11 Oct 2025

https://github.com/crillab/pyxai

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, ...).

boosted-trees classification decision-tree python random-forest regression xai

Last synced: 22 May 2026

https://github.com/jamiemason/self-help

Interactive Q&A Guides for Web and the Command Line.

command-line decision-tree documentation documentation-generator helpdesk interactive-tutorial onboarding q-and-a walkthrough walkthrough-help wiki

Last synced: 30 Apr 2025

https://github.com/JamieMason/self-help

Interactive Q&A Guides for Web and the Command Line.

command-line decision-tree documentation documentation-generator helpdesk interactive-tutorial onboarding q-and-a walkthrough walkthrough-help wiki

Last synced: 18 Jul 2025

https://github.com/csinva/tree-prompt

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

ai artificial-intelligence classification controllability decision-tree huggingface interpretability language-model language-models llm llm-inference machine-learning prompt-engineering prompting scikit-learn

Last synced: 29 Apr 2025

https://github.com/sgrodriguez/ddt

Golang Dynamic Decision Tree

decision decision-tree decison-trees go golang machine-learning tree user-tree

Last synced: 14 Mar 2025

https://github.com/servian/aws-compute-decision-tree

A decision tree to help you decide on the right AWS compute service for your needs.

amazon-web-services aws compute-service decision-tree product-selection service-selection

Last synced: 18 Oct 2025

https://github.com/trainingbypackt/artificial-intelligence-and-machine-learning-fundamentals

Get started with the development of real-world applications that are powered by the latest AI advances

decision-tree jupyter-notebook machine-learning-fundamentals neural-network python python3 regression

Last synced: 10 Apr 2025

https://github.com/hengzhe-zhang/scikit-obliquetree

Oblique Decision Tree in Python

decision-tree ensemble-learning oblique-decision-tree

Last synced: 16 Jan 2026

https://github.com/sametcopur/obliquetree

obliquetree is an advanced decision tree implementation featuring oblique and axis-aligned splits, optimized performance.

decision-tree explainable-ai machine-learning oblique-decision-tree

Last synced: 31 Oct 2025

https://github.com/mainakrepositor/renal-disease-detection

Detects and Predicts possible malfunctioning of human kidney based on the test reports and percentages of the associated parameters using decision tree classifier

decision-tree machine-learning python3 renal-disease streamlit

Last synced: 25 Jun 2025

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: 29 Apr 2025

https://github.com/yangarbiter/adversarial-nonparametrics

Robustness for Non-Parametric Classification: A Generic Attack and Defense

adversarial-machine-learning adversarial-pruning decision-tree nearest-neighbor robustness

Last synced: 29 Jan 2026

https://github.com/motapinto/football-classification-predications

Supervised Learning Models used to predict outcomes of football matches

artificial-intelligence decision-tree deep-neural-network gradient-boosting k-nearest-neighbours machine-learning naive-bayes neural-network supervised-learning support-vector-machine

Last synced: 14 Apr 2025

https://github.com/brandmaier/semtree

Recursive Partitioning for Structural Equation Models

bigdata cran decision-tree forest multivariate r randomforest recursive-partitioning sem statistical-modeling structural-equation-modeling structural-equation-models

Last synced: 07 Apr 2025

https://github.com/neemiasbsilva/case-study-data-science

Welcome to some case study of data science projects - (Personal Projects).

anomaly-detection case-study-data-science census-income churn-prediction data-science data-science-projects decision-tree healthcare house-price-prediction logistic-regression machine-learning pyspark pyspark-mllib rag-chatbot spaceship-titanic

Last synced: 11 Apr 2025

https://github.com/ksdkamesh99/ml-in-dava

The repository contains various python jupyter notebooks of predicting different medical diseases from various open source datasets.The following medical diseases predicted are cancer,,diabeties,kidney diseases,heart disease,liver diseases,spine disease using variou machine learning classification algorithms like KNN,Logistic Regression,Support Vector Machine,Decision Tree,Random Forest

decision-tree heatmap knn logistic-regression machine-learning medicine random-forest sklearn support-vector-machine

Last synced: 12 May 2025

https://github.com/mdh266/randomforests

Random Forest Library In Python Compatible with Scikit-Learn

classification data-science decision-tree ensemble-learning machine-learning machine-learning-algorithms pandas python random-forest regression scikit-learn

Last synced: 10 Mar 2026

https://github.com/sravb/nba-predictive-analytics

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

basketball data-mining data-science data-visualization decision-tree k-nearest-neighbors kaggle-dataset machine-learning matplotlib nba-analytics pandas predictive-analytics python scikit-learn scipy

Last synced: 07 May 2025

https://github.com/predict-idlab/mindwalc

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

classification data-mining decision-tree interpretability knowledge-graph

Last synced: 07 Jul 2025

https://github.com/amstuta/random-forest

Implementation of a Random Forest classifier in both Python and Scala

decision-tree machine-learning random-forest-classifier

Last synced: 05 Aug 2025

https://github.com/jeonghunyoon/machine-learning-lecture-notes

Lecture notes and codes for machine learning

data-science decision-tree deep-learning lecture-notes linear-algebra linear-regression lsa machine-learning naive-bayes-classifier statistics

Last synced: 10 Apr 2025

https://github.com/nenadmarkus/algogear

Minimalistic implementations of various algorithms for projects in machine learning and computer vision

decision-tree fft-library lu-decomposition matrix-multiplication weighted-median

Last synced: 05 Mar 2026

https://github.com/chen0040/java-decision-forest

Package implements decision tree and isolation forest

anomaly-detection boosted-trees classification decision-tree id3 isolation-forest supervised-learning unsupervised-learning

Last synced: 15 Aug 2025

https://github.com/Entscheider/stamm

Generic decision trees for rust

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

Last synced: 22 Jul 2025

https://github.com/chriswblake/Reinforcement-Learning-Based-Decision-Tree

Generation and evaluation of a decision tree using reinforcement learning.

decision-tree machine-learning online-learning reinforcement-learning

Last synced: 04 May 2025

https://github.com/bzg/choices

Build SPAs to let users answer questions from a decision tree

decision-tree flowchart spa

Last synced: 31 Aug 2025

https://github.com/arasgungore/n-puzzle-solver

A C++ project which efficiently solves any given N-puzzle using backtracking on a decision tree.

15-puzzle 15-puzzle-game 15-puzzle-solver 15puzzle 15puzzlegame algorithm algorithms back-tracking backtracking cplusplus cpp decision-tree decision-tree-algorithm game n-puzzle recursion recursive-backtracking-algorithm terminal-based tree tree-structure

Last synced: 12 Apr 2025

https://github.com/devinterview-io/decision-tree-interview-questions

🟣 Decision Tree interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.

ai-interview-questions coding-interview-questions coding-interviews data-science data-science-interview data-science-interview-questions data-scientist-interview decision-tree decision-tree-interview-questions decision-tree-questions decision-tree-tech-interview interview-practice interview-preparation machine-learning machine-learning-and-data-science machine-learning-interview machine-learning-interview-questions software-engineer-interview technical-interview-questions

Last synced: 28 Jan 2026

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

Python ile Makine Öğrenmesi alanında ki uygulamaları bol bol açıklama satırları ekleyerek yeni giriş yapacak olanlar için hazırlıyorum.

decision-tree linear-regression machine-learning python random-forest

Last synced: 02 May 2025

https://github.com/bhattbhavesh91/random-forest-visualization

This is the GitHub repository of my tutorial on visualizing the decision trees of a random forest.

decision-tree random-forest visualization

Last synced: 15 Oct 2025

https://github.com/devtronic/tree-classifier

A class for decision trees

decision-tree php

Last synced: 19 Sep 2025

https://github.com/sun1638650145/classicml

简单易用的经典机器学习框架

adaboost bagging cluster cpp17 decision-tree eigen ensemble-learning framework linear-discriminant-analysis logistic-regression machine-learning naive-bayes-classifier neural-network pybind11 python support-vector-machine

Last synced: 24 Apr 2025

https://github.com/chriswblake/reinforcement-learning-based-decision-tree

Generation and evaluation of a decision tree using reinforcement learning.

decision-tree machine-learning online-learning reinforcement-learning

Last synced: 01 Aug 2025

https://github.com/nuno-faria/headtohead

An arcade 1v1 football(soccer)/volley/basket game (single or local multiplayer).

1v1 basketball decision-tree football game multiplayer pixel-art singleplayer soccer unity unity2d volleyball

Last synced: 19 Apr 2025

https://github.com/lahovniktadej/gatree

Evolutionary decision trees

decision-tree evolutionary-algorithm genetic-algorithm machine-learning

Last synced: 05 Jul 2025

https://github.com/bhattbhavesh91/visualize-decision-tree

🌲 Decision Tree Visualization using GraphViz and Python

decision-tree decision-tree-classifier decision-tree-visualization graphviz python

Last synced: 17 Apr 2025

https://github.com/dataiku/dss-plugin-decision-tree-builder

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

dataiku decision-tree decision-tree-builder dss-plugin machine-learning

Last synced: 04 Apr 2026

https://github.com/csinva/clinical-rule-development

Building and vetting clinical decision rules.

ai artificial-intelligence clinical decision-rules decision-tree emergency-medicine explainable-ai explainable-ml interpretability large-language-models llm machine-learning medical medicine ml pecarn statistics trauma xai

Last synced: 27 Feb 2026

https://github.com/leffff/stackboost

Open source gradient boosting library

boosting classification-model data-analysis data-science decision-tree ensemble-learning gradient-boosting gradient-boosting-classifier gradient-boosting-machine gradient-boosting-regressor pypi python regression-models

Last synced: 17 Jan 2026

https://github.com/innofang/algo4ml

🐍 algorithm for machine learning

algorithm decision-tree knn logistic-regression machine-learning machine-learning-algorithms machine-learning-in-action naive-bayes python3

Last synced: 29 Apr 2025

https://github.com/ttitcombe/python-machine-learning-models

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

bayesian-optimization clustering decision-tree gan gaussian-mixture-models gaussian-processes generative-adversarial-network gmm hidden-markov-model machine-learning neural-network python rbm

Last synced: 11 Apr 2025

https://github.com/egormkn/machine-learning-course

🤖 Machine Learning course, ITMO University, 2019

classification decision-tree deep-neural-network knn linear-regression machine-learning naive-bayes regression svm

Last synced: 24 Apr 2025

https://github.com/ikanurfitriani/diabetes-prediction

This repository contains code archives for Diabetes Prediction with Machine Learning

decision-tree diabetes-dateset-analysis diabetes-prediction diabetes-prediction-model ipynb-jupyter-notebook jupyter-notebook knn-algorithm linear-regression logistic-regression-algorithm naive-bayes-algorithm python random-forest streamlit-webapp svm-model

Last synced: 28 Oct 2025

https://github.com/khaledashrafh/dt-banknote-authenticator

This Python code utilizes the decision tree algorithm from the scikit-learn library to perform banknote authentication. The code aims to analyze the impact of different train-test split ratios and training set sizes on the accuracy and size of the learned decision tree.

banknote-authentication decision-tree decision-tree-classifier dt machine-learning matplotlib-pyplot models numpy pandas plotting sklearn

Last synced: 17 Oct 2025

https://github.com/kyosek/cfxplorer

CFXplorer generates optimal distance counterfactual explanations for a given machine learning model.

adaboost algorithmic-recourse binary-classification counterfactual-explanations decision-tree machine-learning optimization python python3 random-forest tree-based-models

Last synced: 20 Jun 2025

https://github.com/shashwatkathuria/nlp-hindi-english

Natural Language Processing - Part-Of-Speech Tagging

bigram-model decision-tree deep-learning english-learning hidden-markov-model hindi hindi-pos-tag natural-language-processing nlp nltk pos pos-tagging scikit-learn trainings trigram-model viterbi-algorithm viterbi-hmm

Last synced: 13 Apr 2025

https://github.com/amirisback/ai-genetic-algorithm

Implement Genetic Algorithm and Decision Tree

artifici decision-tree fitness-function genetic-algorithm java

Last synced: 24 Apr 2025

https://github.com/paridelpooya/execute-js

Application workflow executor for JavaScript

decision-tree executor javascript

Last synced: 07 Oct 2025

https://github.com/asifhaider/biomed-datathon-2024

Third place winning solution notebooks and presentation slide by team Cookie Monsters from CSE-BUET for Biomed Datathon 2024 hosted by BME-BUET

audio-processing decision-tree deep-learning machine-learning spectrogram-transformer

Last synced: 19 Jun 2025

https://github.com/patilni3/loan_approval

Loan Approval using Random Forest Algorithm

decision-tree loan-approval machine-learning-algorithms matplotlib pandas random-forest seaborn sklearn

Last synced: 24 Jun 2025

https://github.com/maacpiash/cse440

🎓 🧠 Assignments of Artificial Intelligence course (CSE440) offered by the Department of Electrical and Computer Engineering at North South University, Dhaka, Bangladesh.

academic algorithm artificial-intelligence decision-tree dijkstra game graph machine-learning python shortest-path

Last synced: 29 Aug 2025

https://github.com/madhurimarawat/machine-learning-using-python

This repository contains machine learning programs in the Python programming language.

breast-cancer-dataset data-cleaning decision-tree deep-learning iris-dataset kaggle-datasets knn machine-learning-algorithms matplotlib pandas pca python random-forest scikit-learn single-neuron-neural-network supervised-learning supervised-learning-algorithms svm unsupervised-learning-algorithms wine-dataset

Last synced: 12 Apr 2025

https://github.com/shigekikarita/d-tree

Decision tree library for D

decision-tree gradient-boosting mir numir

Last synced: 07 Feb 2026

https://github.com/guilhermebkel/lottery-number-prediction

That's a project of machine learning, made in order to determine possible numbers to win a lottery (not finished yet).

artificial-intelligence decision-tree logistic-regression machine-learning r

Last synced: 25 Aug 2025

https://github.com/hansyagarwal/crimepredictionsystem

Crime Prediction System in PHP

algorithms apriori decision-tree php

Last synced: 11 Jun 2025

https://github.com/ayonious/nested-rules-engine

🌲 Decision Tree based Rules Engine

decision-tree dfs rule-engine

Last synced: 12 May 2025

https://github.com/pr38/numbadecisiontrees

novel 'numba' based recreation of scikit-learn's decision tree algorithm

decision-tree decision-trees machine-learning numba python scikit-learn

Last synced: 02 Sep 2025

https://github.com/mayurasandakalum/breast-cancer-detection

Code for classifying breast cancer tumors using machine learning. Includes preprocessing, visualizations, and models like Logistic Regression, Decision Tree, and Random Forest. Evaluated with accuracy, precision, recall, and F1-score. Clone, install dependencies, and run the Jupyter notebook for full analysis.

accuracy breast-cancer-classification data-preprocessing decision-tree exploratory-data-analysis f1-score jupyter-notebook logistic-regression machine-learning ml model-evaluation precision random-forest recall svm visualizations

Last synced: 21 Feb 2026

https://github.com/madhurimarawat/ml-model-datasets-using-streamlits

This repository contains my machine learning models implementation code using streamlit in the Python programming language.

classifier data-visualization decision-tree diabetes-dataset digits-dataset hyperparameter-tuning kaggle-datasets knn linear-regression logistic-regression machine-learning-algorithms machine-learning-project naive-bayes-algorithm python random-forest regressor streamlit-deployment supervised-learning svm wine-dataset

Last synced: 12 Apr 2025

https://github.com/pegah-ardehkhani/predictive-maintenance-using-ml

A machine learning project for predictive maintenance, designed to forecast equipment failures and optimize maintenance schedules to reduce downtime and operational costs

adaboost decision-tree deep-learning deep-neural-networks feature-importance knn logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly predictive-maintenance random-forest seaborn sklearn stacking svm tensorflow

Last synced: 15 Apr 2025

https://github.com/lefteris-souflas/business-analytics-case-studies

Three business analytics case studies were undertaken, encompassing market basket analysis, customer segmentation, and campaign management. SAS Visual Data Mining and Machine Learning on SAS Viya was utilized to explore data and provide insights. A comprehensive report addressing both technical and business aspects was delivered.

association-rules customer-segmentation cut-off-point-calculation data-partitioning decision-tree fraud-detection logistic-regression market-basket-analysis maximal-tree neural-network rfm-segmentation sas-visual-analytics sas-viya stratified-sampling