{"id":29874662,"url":"https://github.com/saba-burduli/ml.net-project-","last_synced_at":"2025-07-31T00:45:23.511Z","repository":{"id":304915588,"uuid":"1016001125","full_name":"Saba-Burduli/ML.NET-project-","owner":"Saba-Burduli","description":" Car Price Prediction Using Linear Regression in ML.NET","archived":false,"fork":false,"pushed_at":"2025-07-16T02:09:40.000Z","size":12863,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-07-17T04:29:44.454Z","etag":null,"topics":["csharp","machine-learning","machine-learning-algorithms"],"latest_commit_sha":null,"homepage":"","language":"C#","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/Saba-Burduli.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":"2025-07-08T10:44:12.000Z","updated_at":"2025-07-16T02:09:43.000Z","dependencies_parsed_at":"2025-07-17T09:34:45.478Z","dependency_job_id":"15d87aae-543e-41d7-b652-d16c6d14d422","html_url":"https://github.com/Saba-Burduli/ML.NET-project-","commit_stats":null,"previous_names":["saba-burduli/ml.net-project-"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/Saba-Burduli/ML.NET-project-","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saba-Burduli%2FML.NET-project-","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saba-Burduli%2FML.NET-project-/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saba-Burduli%2FML.NET-project-/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saba-Burduli%2FML.NET-project-/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Saba-Burduli","download_url":"https://codeload.github.com/Saba-Burduli/ML.NET-project-/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Saba-Burduli%2FML.NET-project-/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267968325,"owners_count":24173657,"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","status":"online","status_checked_at":"2025-07-30T02:00:09.044Z","response_time":70,"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":["csharp","machine-learning","machine-learning-algorithms"],"created_at":"2025-07-31T00:45:19.933Z","updated_at":"2025-07-31T00:45:23.473Z","avatar_url":"https://github.com/Saba-Burduli.png","language":"C#","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# Car Price Prediction Using Linear Regression – ML.NET\n\nThis project predicts the price of used cars based on key features such as **Model**, **Year**, and **Mileage** using a regression model built with **ML.NET**.\n\n##  Project Description\n\nThe model is trained on a synthetic dataset and supports the following car models:\n\n- Dodge Challenger  \n- Ford Mustang  \n- BMW 3 Series  \n- Mercedes C-Class  \n\nIt leverages the **FastTree Regression** algorithm for training and makes use of feature engineering steps such as normalization and one-hot encoding.\n\n##  Machine Learning Pipeline\n\n1. **Load CSV** training data (up to 1 million rows)\n2. **One-hot encode** the `Model` column\n3. **Normalize** the `Year` and `Mileage` columns\n4. **Concatenate** all features into a single input vector\n5. **Train** the model using the `FastTree` regression algorithm\n6. **Evaluate** the model’s accuracy\n7. **Save** the trained model to disk for reuse\n\n##  Sample Dataset\n\n```csv\nModel,Year,Mileage,Price\nFord Mustang,2020,60000,14000.00\nBMW 3 Series,2024,10000,37000.00\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaba-burduli%2Fml.net-project-","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsaba-burduli%2Fml.net-project-","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaba-burduli%2Fml.net-project-/lists"}