{"id":28476143,"url":"https://github.com/riddhis2226/titanic-survival-data-analysis","last_synced_at":"2026-05-01T16:31:57.205Z","repository":{"id":296269789,"uuid":"992831968","full_name":"Riddhis2226/Titanic-Survival-Data-Analysis","owner":"Riddhis2226","description":"Titanic-Survival-Data-Analysis : Analyze passenger data from the Titanic to predict survival based on features like age, gender, class, and fare.","archived":false,"fork":false,"pushed_at":"2025-05-31T22:19:25.000Z","size":3377,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-07T15:06:08.557Z","etag":null,"topics":["data-analysis","data-mining","data-science","data-visualization","database","jupyter-notebook","machine-learning-models","machinelearning-python","plotlyjs","python3"],"latest_commit_sha":null,"homepage":"http://localhost:8888/notebooks/Titanic%20Survival%20Prediction.ipynb","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/Riddhis2226.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,"zenodo":null}},"created_at":"2025-05-29T19:30:40.000Z","updated_at":"2025-05-31T22:19:28.000Z","dependencies_parsed_at":"2025-06-03T03:31:44.981Z","dependency_job_id":null,"html_url":"https://github.com/Riddhis2226/Titanic-Survival-Data-Analysis","commit_stats":null,"previous_names":["riddhis2226/titanic-survival-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Riddhis2226/Titanic-Survival-Data-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Riddhis2226%2FTitanic-Survival-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Riddhis2226%2FTitanic-Survival-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Riddhis2226%2FTitanic-Survival-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Riddhis2226%2FTitanic-Survival-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Riddhis2226","download_url":"https://codeload.github.com/Riddhis2226/Titanic-Survival-Data-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Riddhis2226%2FTitanic-Survival-Data-Analysis/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263050404,"owners_count":23405827,"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-analysis","data-mining","data-science","data-visualization","database","jupyter-notebook","machine-learning-models","machinelearning-python","plotlyjs","python3"],"created_at":"2025-06-07T15:06:08.245Z","updated_at":"2026-05-01T16:31:57.197Z","avatar_url":"https://github.com/Riddhis2226.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Titanic-Survival-Data-Analysis\n\n## 🔹 Summary:\nAnalyze passenger data from the Titanic to predict survival based on features like age, gender, class, and fare.\n\n## 🔧 Tools \u0026 Libraries:\npandas, matplotlib, seaborn, plotly, numpy, jupyter\n\n## 📊 Features:\n\n- Data cleaning \u0026 preprocessing\n- Exploratory data analysis\n- Missing value imputation\n- Correlation heatmap, KDE plots\n- Interactive charts with Plotly\n- Well-formatted summary table\n\n## 📁 Output:\nInteractive notebook + dashboard visuals\n\n## 📂 Filename: \nhttp://localhost:8888/notebooks/Titanic%20Survival%20Prediction.ipynb\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Friddhis2226%2Ftitanic-survival-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Friddhis2226%2Ftitanic-survival-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Friddhis2226%2Ftitanic-survival-data-analysis/lists"}