{"id":26192931,"url":"https://github.com/enshefalogram/ml-score-pred","last_synced_at":"2026-05-01T22:33:36.683Z","repository":{"id":281702690,"uuid":"946088931","full_name":"enshefalogram/ml-score-pred","owner":"enshefalogram","description":"This project is designed to make your life... predictable!","archived":false,"fork":false,"pushed_at":"2025-03-10T17:49:40.000Z","size":167,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-12-27T08:23:30.773Z","etag":null,"topics":["ai","data-visualization","eda","machine-learning","phyton","python3","regression","regression-models","supervised-machine-learning"],"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/enshefalogram.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":"2025-03-10T15:37:05.000Z","updated_at":"2025-03-10T17:49:43.000Z","dependencies_parsed_at":"2025-03-10T18:39:40.828Z","dependency_job_id":"12f003fa-a70f-462d-bd03-769328665478","html_url":"https://github.com/enshefalogram/ml-score-pred","commit_stats":null,"previous_names":["enshefalogram/ml-score-pred"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/enshefalogram/ml-score-pred","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enshefalogram%2Fml-score-pred","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enshefalogram%2Fml-score-pred/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enshefalogram%2Fml-score-pred/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enshefalogram%2Fml-score-pred/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/enshefalogram","download_url":"https://codeload.github.com/enshefalogram/ml-score-pred/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enshefalogram%2Fml-score-pred/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32515838,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-30T13:12:12.517Z","status":"online","status_checked_at":"2026-05-01T02:00:05.856Z","response_time":64,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["ai","data-visualization","eda","machine-learning","phyton","python3","regression","regression-models","supervised-machine-learning"],"created_at":"2025-03-12T01:25:13.817Z","updated_at":"2026-05-01T22:33:36.662Z","avatar_url":"https://github.com/enshefalogram.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# My Awesome Pred-ject! 🚀\nThis project is designed to make your life... predictable! :smile:\nYou can anticipate your score based on your hour of learning using Exploratory Data Analysis (EDA), incorporate Feature Engineering, then create Machine Learning Regression Models, cool, huh! Even you can evaluate which model provides the most accurate predictions. ✨ Breathtaking..!✨\n\n## 🎲 **Features**\n- Exploratory Data Analysis (EDA)\n- Feature Engineering (duplicatedndling missing values and outlier analysis)\n- ML Regression: Linear Regression, Decision Tree, dan Random Forest\n- Model Evaluation: R-squared Score, Mean Absolute Error (MAE), Mean Squared Error (MSE)\n\n## 🖥️ **Used**\n- **Python**        :NumPy, Pandas, Matplotlib, Seaborn)\n- **Scikit-Learn**  :ML Regression, Model Evaluation)\n- **Jupyter Notebook/Google Colab**\n\n## ⛓️ **Installation**\n👬 Clone the repository\n```bash\ngit clone https://github.com/enshefalogram/ml-pred-test.git\n```\n🔃 Install dependencies\n```bash\npip install -r requirements.txt\n```\n📊 Analyze data by running the Jupyter Notebook analysis and modeling.\n\n  \n# Shefa Mursalinda as contributor\n📰License under **MIT License**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenshefalogram%2Fml-score-pred","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fenshefalogram%2Fml-score-pred","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenshefalogram%2Fml-score-pred/lists"}