{"id":25986910,"url":"https://github.com/chouikhi-abdallah/supervised_machine_learning_algorithms","last_synced_at":"2025-10-16T23:40:45.118Z","repository":{"id":275452742,"uuid":"926122173","full_name":"Chouikhi-abdallah/Supervised_machine_learning_algorithms","owner":"Chouikhi-abdallah","description":"This repository reflects my leaning journey of supervised machine learning algorithms where i have worked on a project which aims to predict wether a person has some heart disease or not and comparing the differnet algorithms ","archived":false,"fork":false,"pushed_at":"2025-02-02T16:10:55.000Z","size":24,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-02T17:19:16.953Z","etag":null,"topics":["desiciontree","logistic-regression","naive-bayes-classifier","random-forest-classifier","support-vector-machines"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Chouikhi-abdallah.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-02-02T15:57:59.000Z","updated_at":"2025-02-02T16:10:59.000Z","dependencies_parsed_at":"2025-02-02T17:19:20.440Z","dependency_job_id":"377280b0-5ac0-47de-8340-7502562102e9","html_url":"https://github.com/Chouikhi-abdallah/Supervised_machine_learning_algorithms","commit_stats":null,"previous_names":["chouikhi-abdallah/supervised_machine_learning_algorithms"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chouikhi-abdallah%2FSupervised_machine_learning_algorithms","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chouikhi-abdallah%2FSupervised_machine_learning_algorithms/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chouikhi-abdallah%2FSupervised_machine_learning_algorithms/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chouikhi-abdallah%2FSupervised_machine_learning_algorithms/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Chouikhi-abdallah","download_url":"https://codeload.github.com/Chouikhi-abdallah/Supervised_machine_learning_algorithms/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242030627,"owners_count":20060572,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["desiciontree","logistic-regression","naive-bayes-classifier","random-forest-classifier","support-vector-machines"],"created_at":"2025-03-05T12:35:23.886Z","updated_at":"2025-10-16T23:40:40.074Z","avatar_url":"https://github.com/Chouikhi-abdallah.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Heart Disease Prediction using Machine Learning\n\n![Model Accuracies](model_accuracies.png)\n\n## Overview\nThis project aims to predict whether a patient has heart disease based on various clinical features. The dataset used contains information about patients' cardiac health, and several machine learning models are applied to classify whether a patient has heart disease or not.the code in ml_work is well commented presenting the data cleaning first then the implementation of the algorithm and the metrics of each.\n\n## Dataset\nThe dataset contains the following features:\n- **age**: Age of the patient.\n- **sex**: Gender of the patient (0: female, 1: male).\n- **cp**: Type of chest pain (0-3).\n- **trestbps**: Resting blood pressure.\n- **chol**: Serum cholesterol.\n- **fbs**: Fasting blood sugar \u003e 120 mg/dl.\n- **restecg**: Resting electrocardiographic results.\n- **thalach**: Maximum heart rate achieved.\n- **exang**: Exercise-induced angina.\n- **oldpeak**: ST depression induced by exercise relative to rest.\n- **slope**: Slope of the peak exercise ST segment.\n- **ca**: Number of major vessels colored by fluoroscopy.\n- **thal**: Thalassemia (0 = normal; 1 = fixed defect; 2 = reversible defect).\n- **target**: The target variable (1 = heart disease, 0 = no heart disease).\n\n## Models Used\nThe following supervised learning models were implemented:\n1. **Logistic Regression**\n2. **Naive Bayes**\n3. **Support Vector Machine (SVM)**\n4. **Decision Tree**\n5. **Random Forest**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchouikhi-abdallah%2Fsupervised_machine_learning_algorithms","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchouikhi-abdallah%2Fsupervised_machine_learning_algorithms","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchouikhi-abdallah%2Fsupervised_machine_learning_algorithms/lists"}