{"id":25409273,"url":"https://github.com/batthulavinay/basic-linear-regression","last_synced_at":"2025-04-13T20:53:19.751Z","repository":{"id":275792208,"uuid":"927211977","full_name":"BatthulaVinay/Basic-Linear-Regression","owner":"BatthulaVinay","description":"This project demonstrates Basic Linear Regression using Python. The notebook includes dataset loading, exploratory data analysis, model training, evaluation, and visualization of results.","archived":false,"fork":false,"pushed_at":"2025-02-12T09:23:12.000Z","size":121,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-12T10:34:09.185Z","etag":null,"topics":["data-visualization","datapreprocessing","exploratory-data-analysis","linear-regression","matplotlib","modelevaluation","pandas-library"],"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/BatthulaVinay.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":"2025-02-04T15:36:51.000Z","updated_at":"2025-02-12T09:23:16.000Z","dependencies_parsed_at":"2025-02-04T16:43:27.511Z","dependency_job_id":null,"html_url":"https://github.com/BatthulaVinay/Basic-Linear-Regression","commit_stats":null,"previous_names":["batthulavinay/basic-linear-regression"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BatthulaVinay%2FBasic-Linear-Regression","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BatthulaVinay%2FBasic-Linear-Regression/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BatthulaVinay%2FBasic-Linear-Regression/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BatthulaVinay%2FBasic-Linear-Regression/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BatthulaVinay","download_url":"https://codeload.github.com/BatthulaVinay/Basic-Linear-Regression/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248782284,"owners_count":21160716,"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":["data-visualization","datapreprocessing","exploratory-data-analysis","linear-regression","matplotlib","modelevaluation","pandas-library"],"created_at":"2025-02-16T08:27:28.965Z","updated_at":"2025-04-13T20:53:19.672Z","avatar_url":"https://github.com/BatthulaVinay.png","language":"Jupyter Notebook","readme":"# Basic Linear Regression\n\n## 📌 Overview\nThis repository contains a Jupyter Notebook demonstrating a basic implementation of linear regression. It covers data preprocessing, model training, and evaluation using Python and popular data science libraries.\n\n## 🏗 Features\n- Exploratory Data Analysis (EDA)\n- Data preprocessing\n- Implementation of Linear Regression using Scikit-learn\n- Model evaluation using metrics like MSE and R-squared\n- Visualization of regression results\n\n## 📂 Files\n- **Basic Linear Regression.ipynb**: Jupyter Notebook containing the complete implementation.\n\n## 🛠 Requirements\nEnsure you have the following libraries installed before running the notebook:\n```bash\npip install numpy pandas matplotlib seaborn scikit-learn\n```\n\n## 🚀 Usage\n1. Clone this repository:\n   ```bash\n   git clone https://github.com/your-username/repository-name.git\n   ```\n2. Navigate to the directory:\n   ```bash\n   cd repository-name\n   ```\n3. Open the Jupyter Notebook:\n   ```bash\n   jupyter notebook \"Basic Linear Regression.ipynb\"\n   ```\n4. Run the notebook cell by cell to see the results.\n\n## 📊 Results\n- Scatter plot of data points\n- Regression line visualization\n- Model performance metrics\n\n## 📜 License\nThis project is open-source and available under the MIT License.\n\n## 🤝 Contributing\nContributions are welcome! Feel free to fork the repository and submit a pull request.\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbatthulavinay%2Fbasic-linear-regression","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbatthulavinay%2Fbasic-linear-regression","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbatthulavinay%2Fbasic-linear-regression/lists"}