{"id":27070322,"url":"https://github.com/samaalharbi2/virtual-work-experience---data-analysis-at-stc","last_synced_at":"2025-06-20T16:38:40.826Z","repository":{"id":278180562,"uuid":"934776631","full_name":"samaalharbi2/Virtual-Work-Experience---Data-analysis-at-stc","owner":"samaalharbi2","description":"Virtual Work Experience in Data Analysis at STC","archived":false,"fork":false,"pushed_at":"2025-02-25T17:22:07.000Z","size":591,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-05T22:34:59.661Z","etag":null,"topics":["analysis","data","data-visualization","misk","stc"],"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/samaalharbi2.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":"2025-02-18T11:41:47.000Z","updated_at":"2025-02-25T17:25:42.000Z","dependencies_parsed_at":"2025-02-25T18:23:13.044Z","dependency_job_id":null,"html_url":"https://github.com/samaalharbi2/Virtual-Work-Experience---Data-analysis-at-stc","commit_stats":null,"previous_names":["samaalharbi2/virtual-work-experience---data-analysis-at-stc"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/samaalharbi2/Virtual-Work-Experience---Data-analysis-at-stc","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/samaalharbi2%2FVirtual-Work-Experience---Data-analysis-at-stc","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/samaalharbi2%2FVirtual-Work-Experience---Data-analysis-at-stc/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/samaalharbi2%2FVirtual-Work-Experience---Data-analysis-at-stc/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/samaalharbi2%2FVirtual-Work-Experience---Data-analysis-at-stc/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/samaalharbi2","download_url":"https://codeload.github.com/samaalharbi2/Virtual-Work-Experience---Data-analysis-at-stc/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/samaalharbi2%2FVirtual-Work-Experience---Data-analysis-at-stc/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":260980259,"owners_count":23092157,"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":["analysis","data","data-visualization","misk","stc"],"created_at":"2025-04-05T22:35:02.986Z","updated_at":"2025-06-20T16:38:35.812Z","avatar_url":"https://github.com/samaalharbi2.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 Virtual Work Experience - Data Analysis at STC\n\n## 🔍 Project Overview\nThis project is part of the **Virtual Work Experience in Data Analysis at STC**. The goal is to analyze **user behavior** on the STC TV platform and build models to improve content recommendations.\n## 📂 Files in this Repository\n- `Copy_of_stc_TV_T2.ipynb` → Data preprocessing \u0026 exploratory analysis.\n- `Sama_Alharbi_stc_TV_T1.ipynb` → Initial analysis \u0026 visualization.\n- `sama_stc_TV_T3.ipynb` → Model training \u0026 evaluation.\n- `stc TV Data Set_T2.xlsx` → Dataset containing user viewing details.\n## 🛠 Technologies Used\n- **Python** (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn)\n- **Jupyter Notebook** for interactive data analysis.\n\n## 🔑 Key Insights\n- **Users watch non-HD content longer than HD content.**\n- **Recommendation models effectively predict user preferences.**\n- **Further analysis can improve accuracy using demographic data.**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamaalharbi2%2Fvirtual-work-experience---data-analysis-at-stc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsamaalharbi2%2Fvirtual-work-experience---data-analysis-at-stc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamaalharbi2%2Fvirtual-work-experience---data-analysis-at-stc/lists"}