{"id":15157819,"url":"https://github.com/mkdirer/depression-data-analysis","last_synced_at":"2025-04-12T20:50:04.022Z","repository":{"id":252584146,"uuid":"840856443","full_name":"mkdirer/Depression-Data-Analysis","owner":"mkdirer","description":"This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.","archived":false,"fork":false,"pushed_at":"2025-04-02T23:33:39.000Z","size":7771,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-12T20:49:57.397Z","etag":null,"topics":["classification","clustering","matplotlib","numpy","pandas","scikit-learn","seaborn","vizualization"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mkdirer.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-08-10T22:41:09.000Z","updated_at":"2025-04-02T23:33:42.000Z","dependencies_parsed_at":"2024-08-10T23:52:50.341Z","dependency_job_id":null,"html_url":"https://github.com/mkdirer/Depression-Data-Analysis","commit_stats":null,"previous_names":["mkdirer/depression-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mkdirer%2FDepression-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mkdirer%2FDepression-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mkdirer%2FDepression-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mkdirer%2FDepression-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mkdirer","download_url":"https://codeload.github.com/mkdirer/Depression-Data-Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248631727,"owners_count":21136560,"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":["classification","clustering","matplotlib","numpy","pandas","scikit-learn","seaborn","vizualization"],"created_at":"2024-09-26T20:03:55.499Z","updated_at":"2025-04-12T20:50:04.016Z","avatar_url":"https://github.com/mkdirer.png","language":"Jupyter Notebook","readme":"# Depression Data Analysis\n\n## Project Description\n\nThis project aims to analyze data related to depression, available on the Kaggle platform. The analysis involves data manipulation, visualization, and basic modeling, data preprocessing, outlier detection, clustering, and classification using Python tools. \n\n## Contents\n\nThe project includes the following components:\n\n- **Dataset**: The data used in this project is sourced from [this Kaggle dataset](https://www.kaggle.com/datasets/diegobabativa/depression).\n- **Jupyter Notebook**: The file `ED_projekt_1.ipynb` contains the source code.\n- **Libraries**: The project utilizes the following Python libraries:\n  - `pandas` for data manipulation,\n  - `numpy` for mathematical computations,\n  - `matplotlib` and `seaborn` for data visualization,\n  - `scikit-learn` for modeling.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmkdirer%2Fdepression-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmkdirer%2Fdepression-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmkdirer%2Fdepression-data-analysis/lists"}