{"id":22445406,"url":"https://github.com/anas436/multiple-linear-regression-with-python","last_synced_at":"2026-04-11T13:03:32.730Z","repository":{"id":110394496,"uuid":"524154194","full_name":"Anas436/Multiple-Linear-Regression-with-Python","owner":"Anas436","description":null,"archived":false,"fork":false,"pushed_at":"2022-08-12T16:27:54.000Z","size":52,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-01T15:30:40.463Z","etag":null,"topics":["jupyterlab","linear-models","matplotlib-pyplot","numpy","pandas","pylab","python3","scikit-learn","sklearn"],"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/Anas436.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":"2022-08-12T16:24:21.000Z","updated_at":"2022-08-17T09:34:06.000Z","dependencies_parsed_at":"2023-04-23T13:33:17.380Z","dependency_job_id":null,"html_url":"https://github.com/Anas436/Multiple-Linear-Regression-with-Python","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/Anas436%2FMultiple-Linear-Regression-with-Python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anas436%2FMultiple-Linear-Regression-with-Python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anas436%2FMultiple-Linear-Regression-with-Python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anas436%2FMultiple-Linear-Regression-with-Python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Anas436","download_url":"https://codeload.github.com/Anas436/Multiple-Linear-Regression-with-Python/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245832680,"owners_count":20679701,"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":["jupyterlab","linear-models","matplotlib-pyplot","numpy","pandas","pylab","python3","scikit-learn","sklearn"],"created_at":"2024-12-06T03:14:10.227Z","updated_at":"2025-12-30T22:48:11.653Z","avatar_url":"https://github.com/Anas436.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Multiple-Linear-Regression-with-Python\n\n\n\n## Objectives\n\nAfter completing this lab you will be able to:\n\n*   Use scikit-learn to implement Multiple Linear Regression\n*   Create a model, train it, test it and use the model\n\n\n\u003ch1\u003eTable of contents\u003c/h1\u003e\n\n\u003cdiv class=\"alert alert-block alert-info\" style=\"margin-top: 20px\"\u003e\n    \u003col\u003e\n        \u003cli\u003e\u003ca href=\"https://#understanding-data\"\u003eUnderstanding the Data\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"https://#reading_data\"\u003eReading the Data in\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"https://#multiple_regression_model\"\u003eMultiple Regression Model\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"https://#prediction\"\u003ePrediction\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"https://#practice\"\u003ePractice\u003c/a\u003e\u003c/li\u003e\n    \u003c/ol\u003e\n\u003c/div\u003e\n\u003cbr\u003e\n\u003chr\u003e\n\n\u003ch2 id=\"understanding_data\"\u003eUnderstanding the Data\u003c/h2\u003e\n\n### `FuelConsumption.csv`:\n\nWe have downloaded a fuel consumption dataset, **`FuelConsumption.csv`**, which contains model-specific fuel consumption ratings and estimated carbon dioxide emissions for new light-duty vehicles for retail sale in Canada. [Dataset source](http://open.canada.ca/data/en/dataset/98f1a129-f628-4ce4-b24d-6f16bf24dd64?utm_medium=Exinfluencer\u0026utm_source=Exinfluencer\u0026utm_content=000026UJ\u0026utm_term=10006555\u0026utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01)\n\n*   **MODELYEAR** e.g. 2014\n*   **MAKE** e.g. Acura\n*   **MODEL** e.g. ILX\n*   **VEHICLE CLASS** e.g. SUV\n*   **ENGINE SIZE** e.g. 4.7\n*   **CYLINDERS** e.g 6\n*   **TRANSMISSION** e.g. A6\n*   **FUELTYPE** e.g. z\n*   **FUEL CONSUMPTION in CITY(L/100 km)** e.g. 9.9\n*   **FUEL CONSUMPTION in HWY (L/100 km)** e.g. 8.9\n*   **FUEL CONSUMPTION COMB (L/100 km)** e.g. 9.2\n*   **CO2 EMISSIONS (g/km)** e.g. 182   --\u003e low --\u003e 0\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanas436%2Fmultiple-linear-regression-with-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanas436%2Fmultiple-linear-regression-with-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanas436%2Fmultiple-linear-regression-with-python/lists"}