{"id":24169688,"url":"https://github.com/sahashraee/data_science","last_synced_at":"2025-03-02T11:17:04.501Z","repository":{"id":271189823,"uuid":"912655128","full_name":"SahashRaee/Data_Science","owner":"SahashRaee","description":"Data Science Basics Concepts","archived":false,"fork":false,"pushed_at":"2025-02-27T09:01:04.000Z","size":38435,"stargazers_count":5,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-27T12:26:11.464Z","etag":null,"topics":["git","opencv","python","pytorch","scikit-learn","tensorflow"],"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/SahashRaee.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":"2025-01-06T05:51:55.000Z","updated_at":"2025-02-27T09:01:08.000Z","dependencies_parsed_at":null,"dependency_job_id":"8852c6e5-2535-4774-b9e6-126c488288df","html_url":"https://github.com/SahashRaee/Data_Science","commit_stats":null,"previous_names":["sahashraee/data_science"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SahashRaee%2FData_Science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SahashRaee%2FData_Science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SahashRaee%2FData_Science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SahashRaee%2FData_Science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SahashRaee","download_url":"https://codeload.github.com/SahashRaee/Data_Science/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241494182,"owners_count":19971871,"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":["git","opencv","python","pytorch","scikit-learn","tensorflow"],"created_at":"2025-01-12T23:14:11.418Z","updated_at":"2025-03-02T11:17:04.494Z","avatar_url":"https://github.com/SahashRaee.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data-Science\n\nWelcome to the Data Science Repository! Here, you'll find a comprehensive collection of topics ranging from **Git** fundamentals and **Python** basics to advanced concepts, including **Machine Learning** algorithms, **Deep Learning** for computer vision using **PyTorch**, and **OpenCV**. These topics will be constantly updated as this repository serves as a record of my ongoing learning and understanding.\n\n\u003cimg src = \"assets/data_science.gif\"\u003e\n\n## Contents\n\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"https://go-skill-icons.vercel.app/api/icons?i=git,python,pandas,numpy,matplotlib,seaborn,sklearn,pytorch,lightning,opencv\" alt=\"Frameworks \u0026 Libraries\" height=\"60\"/\u003e \u003c/br\u003e\u003c/br\u003e\n\u003c/div\u003e\n\n| Topics                        | Description                                                                                 | Links |\n|-------------------------------|---------------------------------------------------------------------------------------------|-------|\n| **Git**                       | Introduction to Git fundamentals                                                             | [🔗](https://github.com/SahashRaee/Data_Science/blob/main/Git/00-Git.ipynb) |\n| **Python**                    | Covers Python fundamentals, OOP and advanced python topics                                   | [🔗](https://github.com/SahashRaee/Data_Science/tree/main/1.%20Python) |\n| **Data Wrangling \u0026 EDA**      | Preparation of data for analysis                                                             | [🔗](https://github.com/SahashRaee/Data_Science/tree/main/2.Data_Wrangling_and_EDA) |\n| **Machine Learning**          | Overview and implementation of popular ML algorithms with practical examples                 | [🔗](https://github.com/SahashRaee/Data_Science/tree/main/3.%20Machine_Learning) |\n| **Deep Learning in PyTorch**  | Introduction to deep learning and hands-on tutorials for image analysis with PyTorch         | [🔗](https://github.com/SahashRaee/Data_Science/tree/main/4.Deep_Learning_in_PyTorch) |\n| **OpenCV**                    | Introduction to computer vision and practical applications using OpenCV                      | [🔗](https://github.com/SahashRaee/Data_Science/tree/main/6.OpenCV) |\n\n**Exercises** are included between each topic to provide practice exercises and coding challenges for reinforcing learning and understanding.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsahashraee%2Fdata_science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsahashraee%2Fdata_science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsahashraee%2Fdata_science/lists"}