{"id":25009189,"url":"https://github.com/augustine-aj/ml-algorithms-from-scratch","last_synced_at":"2026-02-27T12:35:52.612Z","repository":{"id":244634454,"uuid":"815812856","full_name":"augustine-aj/ML-Algorithms-from-scratch","owner":"augustine-aj","description":null,"archived":false,"fork":false,"pushed_at":"2024-10-06T03:47:47.000Z","size":11,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-23T17:13:16.580Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/augustine-aj.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":"2024-06-16T08:33:18.000Z","updated_at":"2025-01-27T09:41:38.000Z","dependencies_parsed_at":"2024-06-16T09:40:35.304Z","dependency_job_id":"13c05d45-264a-4dc5-8d4f-9932e668cedf","html_url":"https://github.com/augustine-aj/ML-Algorithms-from-scratch","commit_stats":null,"previous_names":["augustine-aj/creating-my-own-ml-algorithms","augustine-aj/ml-algorithms-from-scratch"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/augustine-aj%2FML-Algorithms-from-scratch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/augustine-aj%2FML-Algorithms-from-scratch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/augustine-aj%2FML-Algorithms-from-scratch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/augustine-aj%2FML-Algorithms-from-scratch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/augustine-aj","download_url":"https://codeload.github.com/augustine-aj/ML-Algorithms-from-scratch/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250477810,"owners_count":21437049,"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":[],"created_at":"2025-02-05T04:12:40.061Z","updated_at":"2026-02-27T12:35:52.560Z","avatar_url":"https://github.com/augustine-aj.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Creating-my-own-ml-algorithms\n\n# Simple Univariate Linear Regression algorithm\n\nYou can access the PDF document from the following Google Drive link:\nhttps://drive.google.com/file/d/1TrkHoBFQVj8HJUjYYV2USLsolJADMq9P/view?usp=sharing\n\n## Overview\nThis repository contains details about the Univariate Linear Regression Algorithm. The algorithm is a fundamental machine learning technique used to model the relationship between a single independent variable and a dependent variable by fitting a linear equation to observed data.\n\n## Content\nThe detailed explanation of the Univariate Linear Regression Algorithm is provided in a PDF document. The PDF includes,\n\n- Introduction to Linear Regression\n- Hypothesis Representation\n- Cost Function\n- Gradient Descent Algorithm\n- Linear Algebra in Regression\n- Example and Visualization\n- Mathematical Derivations\n- Code Implementation\n\n## Google Drive Link\nYou can access the PDF document from the following Google Drive link:\nhttps://drive.google.com/file/d/1TrkHoBFQVj8HJUjYYV2USLsolJADMq9P/view?usp=sharing\n\n## How to Use\n- Download the PDF: Click on the Google Drive link above to view and download the PDF document.\n- Study the Algorithm: Go through the document to understand the theoretical concepts and practical implementations of the Univariate Linear Regression Algorithm.\n- Implement the Code: Use the provided code examples to implement the algorithm in your own projects.\n\n## Contributing\nContributions are welcome! If you have any improvements or suggestions, feel free to create an issue or submit a pull request.\n\n\n\nlive coding video and pdf will upload soon....\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faugustine-aj%2Fml-algorithms-from-scratch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faugustine-aj%2Fml-algorithms-from-scratch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faugustine-aj%2Fml-algorithms-from-scratch/lists"}