{"id":24965742,"url":"https://github.com/aravindnathan02/data-science-capstone","last_synced_at":"2026-05-03T04:37:20.707Z","repository":{"id":246208609,"uuid":"820416446","full_name":"aravindnathan02/Data-Science-Capstone","owner":"aravindnathan02","description":"IBM Data Science Certificate capstone project on Coursera.","archived":false,"fork":false,"pushed_at":"2025-01-20T06:30:35.000Z","size":543,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-03T11:16:01.839Z","etag":null,"topics":["data-analysis","data-science","data-visualization","machine-learning","predictive-modeling","python","sql"],"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/aravindnathan02.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":"2024-06-26T12:29:10.000Z","updated_at":"2025-01-20T06:30:37.000Z","dependencies_parsed_at":"2024-06-26T15:31:44.394Z","dependency_job_id":"6f367f8b-57ed-4a2c-9cfc-a5e37e20a915","html_url":"https://github.com/aravindnathan02/Data-Science-Capstone","commit_stats":null,"previous_names":["aravindnathan02/testrepo","aravindnathan02/data-science-capstone"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aravindnathan02%2FData-Science-Capstone","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aravindnathan02%2FData-Science-Capstone/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aravindnathan02%2FData-Science-Capstone/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aravindnathan02%2FData-Science-Capstone/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aravindnathan02","download_url":"https://codeload.github.com/aravindnathan02/Data-Science-Capstone/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246122450,"owners_count":20726831,"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-science","data-visualization","machine-learning","predictive-modeling","python","sql"],"created_at":"2025-02-03T11:16:02.850Z","updated_at":"2026-05-03T04:37:15.682Z","avatar_url":"https://github.com/aravindnathan02.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning for Space mission Success\n\n\u003e This is a capstone project done as a part of IBM Data Science Professional certification.\n\n### Situation\n\u003e Space launch outcomes needed better predictive analysis \\\n\u003e Complex data scattered across multiple sources \\\n\u003e Time-consuming pre-launch analysis process \\\n\u003e Need for pattern recognition across launch sites\n\n### Task\n\u003e Collect and analyze data from 100 Falcon 9 launches \\\n\u003e Develop predictive models for launch success \\\n\u003e Create interactive visualizations \\\n\u003e Reduce pre-launch analysis time\n\n### Action\n\u003e Built data pipeline using BeautifulSoup4 and RESTful APIs \\\n\u003e Implemented multiple ML models (SVM, Decision Tree, Logistic Regression, KNN) \\\n\u003e Created interactive Plotly dashboard \\\n\u003e Performed hyperparameter tuning \\\n\u003e Integrated data from global launch sites\n\n### Result\n\u003e Achieved 83% accuracy in predicting mission success \\\n\u003e Reduced pre-launch analysis time by 40% \\\n\u003e Created comprehensive visualization dashboard \\\n\u003e Enabled pattern recognition across launch sites \\\n\u003e Improved decision-making for launch planning\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faravindnathan02%2Fdata-science-capstone","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faravindnathan02%2Fdata-science-capstone","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faravindnathan02%2Fdata-science-capstone/lists"}