GitHub topics: decision-tree | Ecosyste.ms: Repos

alvinadar/Decision-Tree

Decision Tree Implementation -Prediction of enjoy hiking

Language: Jupyter Notebook - Size: 63.5 KB - Last synced at: about 2 hours ago - Pushed at: about 4 hours ago - Stars: 0 - Forks: 0

songwo-153/Machine-learning-algorithms-for-e-commerce-data-analysis-prediction-and-visualization

基于机器学习算法电商平台数据分析预测可视化系统，基于Hadoop电商购物推荐平台销售数据分析预测与可视化系统，爬虫（爬取1688电商平台数据），数据清洗，机器学习算法（随机森林预测和决策树预测算法），B/S架构，前台用户系统和后台管理系统，三种用户：用户+商家+管理员，推荐根据用户的购买行为进行协同过滤推荐，用户1用户2用户1购买商品1商品7用户2购买商品7系统会认为2个用户的收藏行为协同，给用户2推荐商品1。

Size: 14.1 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

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

Language: Python - Size: 1.08 MB - Last synced at: 2 days ago - Pushed at: 9 months ago - Stars: 9,535 - Forks: 5,095

ishaq1243/Real-Estate-House-Price-Prediction-App

A machine learning-powered web application built with Streamlit that predicts house prices in Bengaluru

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

JenithaLessie/Predicting-Customer-Loyalty-Using-ML-Regression-

A predictive model to find relationships between customer metrics and loyalty score for those customers who were tagged, and use this to predict the loyalty score metric for those who were not.

Size: 422 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

ravikant-diwakar/AgriSens

Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, fertilizer recommendation, and crop management guidance through a user-friendly web app.

Language: Jupyter Notebook - Size: 145 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 15 - Forks: 12

hyunsooseol/snowCluster

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.

Language: R - Size: 438 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 8 - Forks: 2

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, ...).

Language: Python - Size: 74.3 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 33 - Forks: 3

sametcopur/obliquetree

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

Language: Cython - Size: 3.07 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 18 - Forks: 0

xuyxu/Soft-Decision-Tree

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

Language: Python - Size: 564 KB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 100 - Forks: 19

GitMateusTeixeira/03-ml-modeling

Este repositório reúne os projetos que desenvolvi durante o curso de Inteligência Artificial, Machine Learning e Deep Learning do INFNET, baseado na metodologia do MIT. Durante essa jornada, aprimorei meus conhecimentos em Machine Learning, aplicando técnicas como clusterização, classificação, validação de modelos e otimização de hiperparâmetros.

Language: Jupyter Notebook - Size: 71.8 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Shrinjita/MACHINE-LEARNING

This repository showcases a collection of practical machine learning projects, utilizing diverse datasets for tasks like classification, regression, and forecasting. With Jupyter notebooks detailing techniques from decision trees to neural networks, this project demonstrates my ability to solve real-world problems through data-driven insights.

Language: Jupyter Notebook - Size: 339 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

mljar/mljar-supervised

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

Language: Python - Size: 9.43 MB - Last synced at: 8 days ago - Pushed at: 19 days ago - Stars: 3,137 - Forks: 416

AritraAmbudhDutta/Speech-Emotion-Recognition-on-RAVDESS-Dataset

Speech Emotion Recognition system using CNN architecture to classify 8 emotions from audio recordings (RAVDESS dataset). Features depthwise separable convolutions for efficient audio analysis, reaching ~70% accuracy.

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

SedatDikbas/traditional-machine-learning

Geleneksel Makine Öğrenmesi Yöntemleri ile Çalışmalarım

Language: Jupyter Notebook - Size: 339 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

SandraKla/AdRI

Shiny App: Calculation of Age-dependent Reference Intervals (AdRI)

Language: R - Size: 15.4 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 2 - Forks: 1

benedekrozemberczki/awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

Language: Python - Size: 1.48 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 1,021 - Forks: 158

alessandrobasigli/Telco-Customer-Churn-Prediction-IBM-Dataset

This project explores customer churn trends for a company in California using an IBM dataset. Built in a Jupyter Notebook, it employs pandas, NumPy, matplotlib, seaborn, plotly, and scipy to clean, analyze, and visualize data. SKlearn predictive model was trained using three main algorithms Decision Tree, Naive Bayes, and Random Forest

Language: Jupyter Notebook - Size: 3.09 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

skumbhar272002/heart-disease-classification

Heart disease classification using machine learning algorithms with hyperparameter tuning for optimized model performance. Algorithms include XGBoost, Random Forest, Logistic Regression, and moreto find the best model for accurate heart disease prediction.

Language: Python - Size: 3.05 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 9.44 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 119 - Forks: 38

igrigorik/decisiontree

ID3-based implementation of the ML Decision Tree algorithm

Language: Ruby - Size: 54.7 KB - Last synced at: 6 days ago - Pushed at: over 6 years ago - Stars: 1,445 - Forks: 129

madhurimarawat/Machine-Learning-Using-Python

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

Language: Jupyter Notebook - Size: 4.44 MB - Last synced at: 9 days ago - Pushed at: 12 days ago - Stars: 5 - Forks: 4

timowilm1992/MultiLGBM

🌳MultiLGBM🌳: A simple multi-objective regression example to show how to trade-off objectives on the Pareto front with a single LGBM model.

Language: Python - Size: 10.4 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 12 - Forks: 0

LybahNisar/Employee-Retention-Forcasting-using-ML-

A data-driven solution to predict employee attrition using machine learning algorithms. This project includes data preprocessing, exploratory analysis, model training (Logistic Regression, Decision Tree, Random Forest), and performance evaluation to support strategic HR decision-making.

Language: Jupyter Notebook - Size: 8.67 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

seung-lab/connected-components-3d

Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)

Language: C++ - Size: 21 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 410 - Forks: 46

microsoft/Forge

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

Language: C# - Size: 374 KB - Last synced at: about 6 hours ago - Pushed at: over 1 year ago - Stars: 297 - Forks: 51

benedekrozemberczki/awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

Language: Python - Size: 870 KB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 2,398 - Forks: 341

sAwAiRa-iQbal/Used-Cars-Price-Prediction-ML-Project

🚗 The Used Car Price Prediction project uses advanced ML models like Random Forest 🌲, Decision Tree 🌳, XGBoost 🚀, and SVR 🔍 to predict used car prices, enhancing buying and selling decisions.

Language: Jupyter Notebook - Size: 23.8 MB - Last synced at: 11 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

parnika-singh/OncoVision

An intelligent machine learning model for classifying breast cancer cells as benign or malignant using the UCI Breast Cancer Wisconsin dataset.

Language: Jupyter Notebook - Size: 506 KB - Last synced at: 11 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

Sabdikay/Telco-Customer-Churn-Prediction-IBM-Dataset

This project explores customer churn trends for a company in California using an IBM dataset. Built in a Jupyter Notebook, it employs pandas, NumPy, matplotlib, seaborn, plotly, and scipy to clean, analyze, and visualize data. SKlearn predictive model was trained using three main algorithms Decision Tree, Naive Bayes, and Random Forest

Language: Jupyter Notebook - Size: 3.14 MB - Last synced at: 10 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 34.7 MB - Last synced at: 8 days ago - Pushed at: 10 months ago - Stars: 676 - Forks: 207

Evovest/EvoTrees.jl

Boosted trees in Julia

Language: Julia - Size: 44.8 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 182 - Forks: 22

chriswblake/Reinforcement-Learning-Based-Decision-Tree

Generation and evaluation of a decision tree using reinforcement learning.

Language: C# - Size: 4.43 MB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 1

STMicroelectronics/STMems_Machine_Learning_Core

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

Language: C - Size: 38 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 186 - Forks: 66

kennmai/Optimizing-Healthcare-Revenue-with-Advanced-Machine-Learning

This project involves comprehensive data wrangling and exploratory analysis to uncover key statistical correlations between various factors influencing the revenue of a synthetic medical group. Based on these insights, I developed two distinct and robust machine learning models, decision tree and regression, to predict future revenue.

Language: Jupyter Notebook - Size: 7.42 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

barbarahayd/COM410-ml

atividades aula machine learning

Language: Jupyter Notebook - Size: 3.27 MB - Last synced at: 19 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

Emmanuelprz1400/Random-Forest

Project where the Random Forest algorithm is used

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

Statistics-and-Machine-Learning-with-R/Statistical-Methods-and-Machine-Learning-in-R

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.

Language: R - Size: 24.3 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 14 - Forks: 12

MultiModel-Edge-AI/EdgeAI-Vision-pipeline

This project implements HOG feature extraction and XGBoost/Decision Tree classification on the COCO dataset, optimized for edge devices like the Jetson Orin NX, and the Kria KV260. It includes COCO data parsing, model training, and real-time inference for image classification.

Language: Python - Size: 77.6 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 1

Soumyapro/Laptop-Price-Predictor

This project aims to predict the price of laptops based on their technical specifications using various machine learning models. The dataset includes attributes like brand, processor, RAM, memory type, GPU, screen size, and operating system.

Language: Jupyter Notebook - Size: 610 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

brandmaier/semtree

Recursive Partitioning for Structural Equation Models

Language: R - Size: 30.3 MB - Last synced at: 13 days ago - Pushed at: 4 months ago - Stars: 16 - Forks: 12

mbeyeler/opencv-machine-learning

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

Language: Jupyter Notebook - Size: 72.7 MB - Last synced at: 11 days ago - Pushed at: about 2 years ago - Stars: 805 - Forks: 456

nadhif-royal/DecisionTree_vs_RandomForest

🚀 Enhancing Classification Accuracy with Decision Tree & Random Forest. I just completed a project exploring Decision Tree and Random Forest for classification tasks! 🎯 This project compares the performance of both models, analyzes key feature importance, and evaluates accuracy using metrics like the confusion matrix.

Language: Jupyter Notebook - Size: 424 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

LucasBoTang/Optimal_Classification_Trees

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

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 59 - Forks: 15

anushrey10/Fuel_Efficiency_Predictor

Welcome to the Fuel Efficiency Predictor! This advanced tool uses machine learning to predict your vehicle's fuel efficiency based on various characteristics.

Language: HTML - Size: 62.6 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

RealChAuLa/StudentDepression

Machine Learning Algorithms Comparison to Predict Student Depression with Highest Accuracy

Language: Python - Size: 8.24 MB - Last synced at: 11 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 1

nuno-faria/HeadToHead

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

Language: C# - Size: 12.1 MB - Last synced at: about 21 hours ago - Pushed at: over 5 years ago - Stars: 15 - Forks: 4

imanirajian/Machine-Learning

Machine learning: Practical applications

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 5 - Forks: 5

s-marton/GRANDE

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

Language: Jupyter Notebook - Size: 9.74 MB - Last synced at: 1 day ago - Pushed at: 27 days ago - Stars: 89 - Forks: 9

WilliamZhang20/Diagnosing-Cardiovascular-Disease

Using XGBoost Decision Trees

Language: Jupyter Notebook - Size: 89.8 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

Grace-Adaji1/SAS-Predictive-Modeling-Projects

Predictive modeling projects using SAS Enterprise Miner (Decision Tree, Neural Network, Regression)

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ncqxm/Iris-classifier

A simple and interactive machine learning web app to classify iris flower species using K-Nearest Neighbors (KNN) and Decision Tree, built with Streamlit.

Language: Python - Size: 1.95 KB - Last synced at: 19 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

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 2024.

Size: 12.7 KB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 2

kromych/disarm64

Instruction decoder generator

Language: Rust - Size: 6.85 MB - Last synced at: 2 days ago - Pushed at: 3 months ago - Stars: 14 - Forks: 7

HiSunTest/Machine_Learning

About This Repository A curated resource hub for learning machine learning, featuring tutorials, code examples, datasets, and hands-on projects to build foundational skills and explore real-world applications.

Language: Python - Size: 17.6 KB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

poloclub/timbertrek

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

Language: TypeScript - Size: 36.9 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 160 - Forks: 10

JuliaAI/DecisionTree.jl

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

Language: Julia - Size: 1.09 MB - Last synced at: 14 days ago - Pushed at: 7 months ago - Stars: 356 - Forks: 101

A-lii/ASD-detection-using-Q-CHAT10-and-SRS

Machine Learning Project using textual data - A comparison between SRS and Q-CHAT10 for autism detection.

Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Prasadlokhande-880/diseasePrediction

This project involves a disease prediction system where the frontend is developed using React, the backend with Node.js, and a Deep Learning (DL) model for disease prediction.

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: 20 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 3.9 MB - Last synced at: 14 days ago - Pushed at: over 2 years ago - Stars: 261 - Forks: 203

nakulpandit/ml_1

Machine Learning

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

oxayavongsa/projects

"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.

Size: 156 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

likejazz/jupyter-notebooks

This repo contains Jupyter Notebooks, miscellaneous stuff.

Language: Jupyter Notebook - Size: 20.4 MB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 59 - Forks: 30

atharvashelke2303/House-Price-Prediction

A Machine Learning project for predicting house prices using Linear Regression, Polynomial and Decision Tree models. Includes data preprocessing, model evaluation, and visualizations.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

csinva/clinical-rule-development

Building and vetting clinical decision rules.

Language: Jupyter Notebook - Size: 160 MB - Last synced at: about 10 hours ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 2

KasrAskari/Choose-Drug

choosing the right medicine for the patient

Language: Jupyter Notebook - Size: 42 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

yyigitturan/Machine-Learning-Projects

These projects are part of my ongoing journey in learning machine learning.

Size: 13.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

havva-nur-ezginci/Diabetes-EyeDisease-Detection-ML-DL

💻This project involves the application of machine learning and deep learning methods 📊 to detect diabetes🩸 and diabetes-related eye 👁️diseases.

Language: Jupyter Notebook - Size: 5.87 MB - Last synced at: 14 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

alsongard/airpollution-data-analysis-

Analyze how different rates of air pollution in different areas affect the environment and health

Language: Python - Size: 887 KB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ayusdixit/Decision-tree-on-fpga

verilog implementation of decision tree

Language: Jupyter Notebook - Size: 159 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 2

jahnvisikligar/Machine-Learning-and-Data-Science-projects

The repo focuses on my works in data science

Language: Jupyter Notebook - Size: 26.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

wissam6/Crew6

XAI analysis on the COMPAS dataset for recidivism

Language: Jupyter Notebook - Size: 5.63 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

madhusudanhasbe/decision-tree-in-c

Implemented a decision tree program in C language as a part of assessment project.

Language: C - Size: 11.7 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

asafschers/scoruby

Ruby Scoring API for PMML

Language: Ruby - Size: 2.39 MB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 69 - Forks: 12

PatilNi3/LOAN_APPROVAL

Loan Approval using Random Forest Algorithm

Language: Jupyter Notebook - Size: 44.9 KB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

TrainingByPackt/Artificial-Intelligence-and-Machine-Learning-Fundamentals

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

Language: Python - Size: 24.7 MB - Last synced at: 10 days ago - Pushed at: over 6 years ago - Stars: 28 - Forks: 16

PENGZhaoqing/kdd99-scikit

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

Language: Python - Size: 6.42 MB - Last synced at: 18 days ago - Pushed at: about 8 years ago - Stars: 58 - Forks: 22

E3-JSI/StreamStoryPyClient

StreamStory python client

Language: Python - Size: 291 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

rizkyjisantt-dev/ml-student-scores

Student Scores Analysis and Prediction This repository contains an end-to-end machine learning project that analyzes student scores using regression models. The project includes data exploration, feature engineering, and model evaluation to determine the best-performing model between Linear Regression and Decision Tree Regressor. 🚀

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

rizkyjisantt-dev/Prediction-of-Heart-Failure

Prediction of Heart Failure This repository contains a Streamlit-based web application for predicting heart failure using machine learning models. The app utilizes the Heart Failure Clinical Dataset from Kaggle and implements classification models such as Gaussian Naive Bayes, K-Nearest Neighbors (K-NN), and Decision Tree. The project includes data

Language: Python - Size: 5.54 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ThadS97/Restaurant-ML

A Python program that shows how machine learning, probability, uncertainty, and a decision tree is used for an agent to make a decision whether to wait for a table at a restaurant.

Language: Python - Size: 19.5 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AtRealMasterLuke/Decision-Tree-Algorithm-with-Iris-Dataset

Study the Iris Dataset using Decision Trees

Language: Jupyter Notebook - Size: 2.29 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

LanguageMachines/timbl

TiMBL implements several memory-based learning algorithms.

Language: C++ - Size: 10.4 MB - Last synced at: 10 days ago - Pushed at: 4 months ago - Stars: 51 - Forks: 9

bzg/choices

Build SPAs to let users answer questions from a decision tree

Language: Clojure - Size: 5.84 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 11 - Forks: 1

Ate329/IDS

An intrusion detection system with a web interface built using Django

Language: Python - Size: 26.4 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 5 - Forks: 1

fs23yayan/MiniProject1-DecisionTree

Mini Project #1: Decision Tree dari Binary Classification -> Mini Project

Language: Python - Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

hengzhe-zhang/scikit-obliquetree

Oblique Decision Tree in Python

Language: Python - Size: 62.5 KB - Last synced at: 27 days ago - Pushed at: over 3 years ago - Stars: 18 - Forks: 3

dieegogutierrez/heart-attack-model

Machine Learn Project for Heart Disease Prediction.

Language: Jupyter Notebook - Size: 594 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

yuhexiong/iris-classification-decision-tree-python

Language: Python - Size: 1.03 MB - Last synced at: 27 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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.

Language: C# - Size: 862 KB - Last synced at: 18 days ago - Pushed at: 8 months ago - Stars: 52 - Forks: 4

NisaGokdemir/Fashion-MNIST-Cesitli-Makine-Ogrenimi-Modelleriyle-Performans-Karsilastirmasi

Fashion MNIST veri seti için Lojistik Regresyon, LightGBM, KNN, Karar Ağacı ve Rastgele Orman modelleri kullanılarak eğitim ve değerlendirme yapıldı. Modellerin doğruluğu, hassasiyeti, duyarlılığı, F1-skoru ve AUC metrikleri hesaplanarak performansları karşılaştırıldı.

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russibc/epitryp

Linear B-Cell epitope validator

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kmock930/Drug-Consumption-Machine-Learning-analysis

This project contains codes and paperwork based on the course CSI5155 at University of Ottawa (delivered by Professor Dr. Herna Viktor).

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ikanurfitriani/Diabetes-Prediction

This repository contains code archives for Diabetes Prediction with Machine Learning

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kaoutarmi/Predition_price-old-cars

Ce projet de prédiction du prix des voitures utilise l’apprentissage automatique pour estimer la valeur des véhicules en fonction de leurs caractéristiques.

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Parisaroozgarian/Diabetes-Prediction-Platform

A comprehensive machine learning web application for diabetes prediction, featuring real-time model evaluation and interactive performance visualization. This platform combines modern ML techniques with an intuitive interface to help analyze diabetes risk factors and make predictions.

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kartheekdama/Salary-Prediction

This salary prediction model leverages machine learning techniques, including Random Forest, Decision Tree, and Linear Regression, to estimate salaries based on individual attributes such as age, gender, education level, job title, and years of experience. The Random Forest model outperforms the others, achieving the highest R-squared score.

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