{"id":25193827,"url":"https://github.com/robson-python/academic-performance","last_synced_at":"2025-04-04T13:41:26.683Z","repository":{"id":273884132,"uuid":"921190334","full_name":"Robson-Python/Academic-Performance","owner":"Robson-Python","description":"Project to evaluate students' academic performance.","archived":false,"fork":false,"pushed_at":"2025-02-05T16:09:39.000Z","size":1267,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-05T17:24:14.508Z","etag":null,"topics":["csv-import","data","data-analysis","data-science","jupyter-notebook","machine-learning","matplotlib","pandas","python","scikit-learn","seaborn","vscode"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Robson-Python.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":"2025-01-23T14:09:45.000Z","updated_at":"2025-02-05T16:09:42.000Z","dependencies_parsed_at":"2025-01-23T15:34:09.496Z","dependency_job_id":null,"html_url":"https://github.com/Robson-Python/Academic-Performance","commit_stats":null,"previous_names":["robson-python/academic-performance"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Robson-Python%2FAcademic-Performance","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Robson-Python%2FAcademic-Performance/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Robson-Python%2FAcademic-Performance/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Robson-Python%2FAcademic-Performance/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Robson-Python","download_url":"https://codeload.github.com/Robson-Python/Academic-Performance/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247187862,"owners_count":20898391,"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":["csv-import","data","data-analysis","data-science","jupyter-notebook","machine-learning","matplotlib","pandas","python","scikit-learn","seaborn","vscode"],"created_at":"2025-02-09T23:22:40.803Z","updated_at":"2025-04-04T13:41:26.652Z","avatar_url":"https://github.com/Robson-Python.png","language":"Jupyter Notebook","readme":"# Academic-Performance\nProject to evaluate students' academic performance.\n\nThis project was my academic evaluation work for my Python course taken at the FEA.Dev institution at the University of São Paulo - USP. I made some improvements from the original project using approaches I learned in other courses and managed to achieve this result.\n\nThis is a project for exploratory and predictive analysis of students' academic performance. The dataframe was analyzed, cleaned and modeled. Then I performed the exploratory analysis and, together with the data visualization, I was able to extract the main insights and thus create a predictive analysis to improve students' academic performance.\n\nI also did an Artificial Intelligence project with the variation of new students' grades based on the analysis of the previous project that can be seen in the file alunos_ia.ipynb.\n\nSoftware and equipment used for development: Python 3.12.8 - Libraries (Pandas, Numpy, Matplotlib, Seaborn, scikit-learn)\n\nOperating System: Windows 11 Home Single Language.\n\nComputer: HP 256 G9 - Intel Core I3.\n\nData Analysis and Machine Learning\n\n© 2025 - by Robson Silva - Python Programmer and Data Analyst.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frobson-python%2Facademic-performance","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frobson-python%2Facademic-performance","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frobson-python%2Facademic-performance/lists"}