{"id":23706856,"url":"https://github.com/anushkundu/student-performance-analysis","last_synced_at":"2026-04-13T13:32:23.677Z","repository":{"id":270243390,"uuid":"909740016","full_name":"anushkundu/Student-Performance-Analysis","owner":"anushkundu","description":"Exploring Student Performance Factors","archived":false,"fork":false,"pushed_at":"2025-02-27T11:39:46.000Z","size":789,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-30T02:45:10.137Z","etag":null,"topics":["classification-algorithm","clustering-algorithm","data-analysis","data-science","exploratory-data-analysis","machine-learning","matplotlib","numpy","pandas","python","seaborn"],"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/anushkundu.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,"zenodo":null}},"created_at":"2024-12-29T16:33:23.000Z","updated_at":"2025-02-27T11:39:49.000Z","dependencies_parsed_at":"2024-12-29T17:29:25.677Z","dependency_job_id":"7d22a49b-0eaf-412c-94ca-8d069721222d","html_url":"https://github.com/anushkundu/Student-Performance-Analysis","commit_stats":null,"previous_names":["anushkundu/student-performance-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anushkundu%2FStudent-Performance-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anushkundu%2FStudent-Performance-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anushkundu%2FStudent-Performance-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anushkundu%2FStudent-Performance-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/anushkundu","download_url":"https://codeload.github.com/anushkundu/Student-Performance-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anushkundu%2FStudent-Performance-Analysis/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259239328,"owners_count":22826907,"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":["classification-algorithm","clustering-algorithm","data-analysis","data-science","exploratory-data-analysis","machine-learning","matplotlib","numpy","pandas","python","seaborn"],"created_at":"2024-12-30T16:00:46.293Z","updated_at":"2026-04-13T13:32:23.637Z","avatar_url":"https://github.com/anushkundu.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Student Performance Analysis\n\nObjective\n\nThe primary objective of this project is to analyze and identify key factors influencing student academic performance. This includes exploring relationships between various attributes (such as demographic, social, and educational factors) and their impact on students' grades or outcomes. Ultimately, the analysis aims to provide actionable insights for improving student performance.\n\n\n# Key Tasks\n\n### Data Collection and Exploration\n\nObjective: Understand the structure and content of the dataset.\n\nActions:\n\n•\tLoaded the dataset and performed an initial review of its features and records.\n\n•\tConducted exploratory data analysis (EDA) to identify patterns and anomalies in the data.\n\n### Data Preprocessing\n\nObjective: Prepare the dataset for analysis and modeling.\n\nActions:\n\n•\tAddressed missing or inconsistent values.\n\n•\tTransformed categorical variables into numerical representations.\n\n•\tScaled numerical features for consistency.\n\n### Feature Selection\n\nObjective: Identify the most significant features influencing student performance.\n\nActions:\n\n•\tUsed statistical techniques and domain knowledge to select relevant variables.\n\n•\tEvaluated feature importance using machine learning models.\n\n### Model Building\n\nObjective: Predict student performance based on selected features.\n\nActions:\n\n•\tTrained multiple machine learning models, including regression and classification algorithms.\n\n•\tOptimized model parameters to enhance predictive accuracy.\n\n### Evaluation\n\nObjective: Assess the performance of the models.\n\nActions:\n\n•\tCompared models using metrics such as accuracy, precision, recall, and F1-score.\n\n•\tAnalyzed errors to identify areas for improvement.\n\n\n# Key Outcomes\n\n### Insights:\n\n•\tHighlighted the primary factors influencing student performance.\n\n•\tProvided actionable recommendations for educators and policymakers.\n\n### Models:\n\n•\tDeveloped predictive models capable of identifying at-risk students.\n\n•\tAchieved high accuracy and reliability in predicting outcomes.\n\n### Impact:\n\n•\tDemonstrated the importance of certain demographic and social factors in educational performance.\n\n\n# Future Work\n\n•\tExpand the analysis to include additional datasets for broader insights.\n\n•\tIncorporate advanced techniques like deep learning for improved predictions.\n\n•\tDevelop a dashboard for real-time analysis and decision-making.\n\n\n# Prerequisites\n\nPython 3.x\n\nLibraries: pandas, numpy, matplotlib, seaborn, scikit-learn\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanushkundu%2Fstudent-performance-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanushkundu%2Fstudent-performance-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanushkundu%2Fstudent-performance-analysis/lists"}