{"id":22138334,"url":"https://github.com/huseyincenik/auto_analytics_advanced_estimation_and_deployment","last_synced_at":"2026-04-11T06:05:55.174Z","repository":{"id":214848679,"uuid":"737510223","full_name":"huseyincenik/auto_analytics_advanced_estimation_and_deployment","owner":"huseyincenik","description":null,"archived":false,"fork":false,"pushed_at":"2024-01-01T14:01:28.000Z","size":8265,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-29T15:50:44.463Z","etag":null,"topics":["aws","aws-cloudformation","aws-ec2","decisiontreeregressor","deployment","lassoregression","linearregression","modeldeployment","python3","randomforest","regression","regression-models","ridgeregression","streamlit","streamlit-webapp","xgboost"],"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/huseyincenik.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":"2023-12-31T10:15:18.000Z","updated_at":"2023-12-31T19:08:56.000Z","dependencies_parsed_at":"2023-12-31T11:23:37.305Z","dependency_job_id":"c04fd08d-425e-465a-ac28-ceb4bb4c4e67","html_url":"https://github.com/huseyincenik/auto_analytics_advanced_estimation_and_deployment","commit_stats":null,"previous_names":["huseyincenik/auto_analytics_advanced_estimation_and_deployment"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fauto_analytics_advanced_estimation_and_deployment","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fauto_analytics_advanced_estimation_and_deployment/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fauto_analytics_advanced_estimation_and_deployment/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fauto_analytics_advanced_estimation_and_deployment/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/huseyincenik","download_url":"https://codeload.github.com/huseyincenik/auto_analytics_advanced_estimation_and_deployment/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245251290,"owners_count":20584852,"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":["aws","aws-cloudformation","aws-ec2","decisiontreeregressor","deployment","lassoregression","linearregression","modeldeployment","python3","randomforest","regression","regression-models","ridgeregression","streamlit","streamlit-webapp","xgboost"],"created_at":"2024-12-01T20:09:28.643Z","updated_at":"2025-12-30T23:27:21.005Z","avatar_url":"https://github.com/huseyincenik.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Auto Analytics: Advanced Estimation \u0026 Deployment 🛠️\n\n![car_price_prediction](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F14886202%2F40cc46b822bdbeec638a90743892cdd3%2Findir%20(3).jpeg?generation=1704037226194977\u0026alt=media)\n\nThis project focuses on using machine learning algorithms to estimate car prices. Various regression algorithms were implemented, including:\n\n- Linear Regression\n- Lasso Regression\n- Ridge Regression\n- Decision Tree\n- Random Forest\n- XGBoost\n\nModel evaluation, grid-search, and cross-validation were performed, resulting in the following scores:\n\n| Model             | R2    | MAE    | RMSE   | MAPE   |\n|-------------------|-------|--------|--------|--------|\n| XGBoost           | 0.921 | 2123.94| 3373.07| 0.132  |\n| Random Forest     | 0.921 | 2252.57| 3374.97| 0.150  |\n| Lasso             | 0.831 | 2818.00| 4954.25| 0.192  |\n| Linear Regression | 0.830 | 2818.65| 4957.25| 0.192  |\n| ElasticNet        | 0.830 | 2817.18| 4959.12| 0.192  |\n| Decision Tree     | 0.816 | 3467.44| 5157.75| 0.221  |\n\nThe final models chosen were Random Forest and XGBoost. Feature importance was determined separately for each model to reduce feature counts. The models were saved using Pickle and converted into a Streamlit file for deployment outside the notebook environment. The Streamlit file was published on both AWS EC2 instances and the Streamlit website, enabling users to make predictions interactively.\n\n## Access Links\n- [Streamlit Live](https://auto-price-deployment.streamlit.app/)\n- [AWS EC2](http://54.227.111.162:8502/)\n- [GitHub Notebook Link](https://github.com/huseyincenik/auto_analytics_advanced_estimation_and_deployment)\n- [Kaggle Notebook Link](https://www.kaggle.com/huseyincenik/auto-analytics-advanced-estimation-deployment)\n- [LinkedIn](https://www.linkedin.com/in/huseyincenik/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuseyincenik%2Fauto_analytics_advanced_estimation_and_deployment","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhuseyincenik%2Fauto_analytics_advanced_estimation_and_deployment","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuseyincenik%2Fauto_analytics_advanced_estimation_and_deployment/lists"}