{"id":24644927,"url":"https://github.com/punitkumar4871/fake_news_prediction","last_synced_at":"2026-02-15T06:32:26.293Z","repository":{"id":270363163,"uuid":"910126140","full_name":"punitkumar4871/fake_news_prediction","owner":"punitkumar4871","description":"A simple Jupyter Notebook project 📓 to classify news articles as 🧐 Fake or ✅ Real using machine learning.","archived":false,"fork":false,"pushed_at":"2025-01-24T17:42:25.000Z","size":82,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-05T00:37:52.493Z","etag":null,"topics":["matplotlib","pandas","python","scikit-learn"],"latest_commit_sha":null,"homepage":"","language":null,"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/punitkumar4871.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,"zenodo":null}},"created_at":"2024-12-30T14:59:51.000Z","updated_at":"2025-07-23T16:31:32.000Z","dependencies_parsed_at":"2024-12-30T16:18:05.918Z","dependency_job_id":"da9d5f10-e24e-4f92-9e7b-eb8b1f0b5306","html_url":"https://github.com/punitkumar4871/fake_news_prediction","commit_stats":null,"previous_names":["punitkumar4871/fake_news_prediction"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/punitkumar4871/fake_news_prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/punitkumar4871%2Ffake_news_prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/punitkumar4871%2Ffake_news_prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/punitkumar4871%2Ffake_news_prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/punitkumar4871%2Ffake_news_prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/punitkumar4871","download_url":"https://codeload.github.com/punitkumar4871/fake_news_prediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/punitkumar4871%2Ffake_news_prediction/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29471941,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-15T05:26:30.465Z","status":"ssl_error","status_checked_at":"2026-02-15T05:26:21.858Z","response_time":118,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["matplotlib","pandas","python","scikit-learn"],"created_at":"2025-01-25T14:13:37.315Z","updated_at":"2026-02-15T06:32:26.269Z","avatar_url":"https://github.com/punitkumar4871.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Fake News Prediction\n\nA Jupyter Notebook project to classify news articles as **fake** or **real** based on a given dataset. The notebook includes data preprocessing, model training, and evaluation steps.\n\n---\n\n## Requirements\n\nTo run this project, you need the following:\n- Python 3.7+\n- Jupyter Notebook\n- Required Python libraries (install using the command below):  \n  ```bash\n  pip install pandas numpy scikit-learn matplotlib seaborn nltk\n  ```\n\n---\n\n## Dataset\nThe dataset used in this project contains:\n- **Text data**: The content of the news articles.\n- **Labels**: Whether the article is `Fake` or `Real`.\n\nEnsure the dataset (e.g., `fake_news.csv`) is placed in the same directory as the notebook.\n\n---\n\n## Usage\n1. Clone this repository or download the notebook:\n   ```bash\n   git clone https://github.com/your_username/fake_news_prediction.git\n   cd fake_news_prediction\n   ```\n\n2. Launch the Jupyter Notebook:\n   ```bash\n   jupyter notebook fake_news_prediction.ipynb\n   ```\n\n3. Follow the steps in the notebook to:\n   - Load and preprocess the dataset.\n   - Train a classification model.\n   - Evaluate its performance.\n\n---\n\n## Output\nThe notebook provides:\n- Preprocessing insights.\n- Accuracy, precision, recall, and F1-score of the model.\n- Visualizations of the model’s performance.\n\n---\n\n## Technologies Used\n- **Python**: Programming language.\n- **Jupyter Notebook**: Code execution and visualization.\n- **Libraries**:\n  - Pandas, NumPy: Data manipulation.\n  - Scikit-learn: Machine learning and evaluation.\n  - NLTK: Natural Language Processing.\n  - Matplotlib, Seaborn: Data visualization.\n\n---\n\n## License\nThis project is for educational purposes. Feel free to modify and use it as needed.  \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpunitkumar4871%2Ffake_news_prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpunitkumar4871%2Ffake_news_prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpunitkumar4871%2Ffake_news_prediction/lists"}