{"id":27962369,"url":"https://github.com/dostonshernazarov/diabetes_models","last_synced_at":"2026-05-02T02:35:42.457Z","repository":{"id":218061098,"uuid":"743529462","full_name":"dostonshernazarov/Diabetes_models","owner":"dostonshernazarov","description":"This repository  projects for diabetes prediction using classical machine learning utilizing tools like Numpy, Pandas.","archived":false,"fork":false,"pushed_at":"2025-02-18T11:07:14.000Z","size":952,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-18T12:22:55.068Z","etag":null,"topics":["deel-learning","machine-learning","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/dostonshernazarov.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":"2024-01-15T12:38:24.000Z","updated_at":"2025-02-18T11:08:41.000Z","dependencies_parsed_at":"2024-01-19T14:27:23.673Z","dependency_job_id":"65b916dc-f3b4-4290-8309-2c4b5868216e","html_url":"https://github.com/dostonshernazarov/Diabetes_models","commit_stats":null,"previous_names":["dostonshernazarov/machinelearning_models"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dostonshernazarov%2FDiabetes_models","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dostonshernazarov%2FDiabetes_models/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dostonshernazarov%2FDiabetes_models/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dostonshernazarov%2FDiabetes_models/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dostonshernazarov","download_url":"https://codeload.github.com/dostonshernazarov/Diabetes_models/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252941382,"owners_count":21828866,"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":["deel-learning","machine-learning","python"],"created_at":"2025-05-07T19:21:11.961Z","updated_at":"2026-05-02T02:35:42.405Z","avatar_url":"https://github.com/dostonshernazarov.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning and Deep Learning Projects\n\n## Overview\nThis repository contains various machine learning and deep learning projects. This project aims to predict diabetes based on various health indicators.\n\n## Project Structure\n- **Diabetes.ipynb/**: This file contains a project to predict diabetes using classical machine learning techniques.\n\n## Diabetes\n\n### Overview\nThis project aims to predict diabetes based on various health indicators. The project uses the following tools and libraries:\n- **Numpy**: For numerical computations.\n- **Pandas**: For data manipulation and analysis.\n- **Matplotlib**: For data visualization.\n- **KNeighborsClassifier**: For the initial machine learning model.\n- **Cross-validation**: For improving the model's accuracy.\n\n### Steps\n1. **Data Preprocessing**:\n    - Load the dataset using Pandas.\n    - Clean and preprocess the data.\n    - Visualize the data using Matplotlib.\n  \n2. **Model Training**:\n    - Train a KNeighborsClassifier model.\n    - Achieve an initial accuracy of 0.68.\n\n3. **Model Improvement**:\n    - Apply cross-validation to the model.\n    - Improve the accuracy to 0.77.\n\n\n\n\n### Steps\n1. Clone the repository:\n    ```bash\n    git clone https://github.com/dostonshernazarov/Diabetes_models.git\n    cd Diabetes_models\n    ```\n\n2. Navigate to the project directory and run the Jupyter notebooks:\n    ```bash\n    jupyter notebook\n    ```\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdostonshernazarov%2Fdiabetes_models","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdostonshernazarov%2Fdiabetes_models","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdostonshernazarov%2Fdiabetes_models/lists"}