{"id":21222148,"url":"https://github.com/mokeddembillel/student-performance-prediction","last_synced_at":"2025-03-15T01:16:16.796Z","repository":{"id":95855386,"uuid":"306159678","full_name":"mokeddembillel/Student-Performance-Prediction","owner":"mokeddembillel","description":"Using Machine learning to predict a student final grade","archived":false,"fork":false,"pushed_at":"2020-12-13T22:32:51.000Z","size":116,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-21T17:13:49.231Z","etag":null,"topics":["data-analysis","data-exploration","feature-extraction","feature-importance","feature-selection","linear-regression","machine-learning","power-bi","principal-component-analysis","regression","spyder","student-performance-prediction","svm-regressor"],"latest_commit_sha":null,"homepage":"","language":"Python","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/mokeddembillel.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":"2020-10-21T22:11:31.000Z","updated_at":"2024-07-31T12:02:48.000Z","dependencies_parsed_at":"2023-03-18T10:33:40.061Z","dependency_job_id":null,"html_url":"https://github.com/mokeddembillel/Student-Performance-Prediction","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mokeddembillel%2FStudent-Performance-Prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mokeddembillel%2FStudent-Performance-Prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mokeddembillel%2FStudent-Performance-Prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mokeddembillel%2FStudent-Performance-Prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mokeddembillel","download_url":"https://codeload.github.com/mokeddembillel/Student-Performance-Prediction/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243668234,"owners_count":20328042,"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-exploration","feature-extraction","feature-importance","feature-selection","linear-regression","machine-learning","power-bi","principal-component-analysis","regression","spyder","student-performance-prediction","svm-regressor"],"created_at":"2024-11-20T22:40:49.075Z","updated_at":"2025-03-15T01:16:16.760Z","avatar_url":"https://github.com/mokeddembillel.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Student-Performance-Prediction\nUsing Machine learning to predict a student final grade\n\n- I made this project to  practices and experement with some of the dimentsionality reduction techniques like low variance filter, cheking multicollinearity, random forest feature importance and principal component analysis \n- I also did an Exploratory Analysis and a BI report using PowerBI to answer some of the questions that came to my mind because i was interested in knowing how some of the variables impact the students grades\n- through out the whole project i prefered to use Spyder rather than Jupyter Notebook becuase of Spyder's variable Explorer which enables you to see the data in a very clear way without the need to use print\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmokeddembillel%2Fstudent-performance-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmokeddembillel%2Fstudent-performance-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmokeddembillel%2Fstudent-performance-prediction/lists"}