{"id":18736973,"url":"https://github.com/darkdk123/house-valuation-model","last_synced_at":"2025-07-07T07:07:04.102Z","repository":{"id":157565642,"uuid":"545107586","full_name":"DarkDk123/House-valuation-model","owner":"DarkDk123","description":"A Challenge Project in a Boot-Camp to create a ML Model to predict the prices of houses in Boston Massachusetts from multiple parameters Using Multivariable Regression.","archived":false,"fork":false,"pushed_at":"2022-10-29T18:27:10.000Z","size":12307,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-20T02:15:26.609Z","etag":null,"topics":["data-analysis","data-science","data-visualization","matplotlib-pyplot","multivariate-regression","predictive-modeling","statistics"],"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/DarkDk123.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":"2022-10-03T19:51:07.000Z","updated_at":"2023-01-05T08:44:16.000Z","dependencies_parsed_at":null,"dependency_job_id":"9a832999-4926-4a46-9d3b-f73715ecc8c8","html_url":"https://github.com/DarkDk123/House-valuation-model","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/DarkDk123/House-valuation-model","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DarkDk123%2FHouse-valuation-model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DarkDk123%2FHouse-valuation-model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DarkDk123%2FHouse-valuation-model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DarkDk123%2FHouse-valuation-model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DarkDk123","download_url":"https://codeload.github.com/DarkDk123/House-valuation-model/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DarkDk123%2FHouse-valuation-model/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264032246,"owners_count":23546799,"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":["data-analysis","data-science","data-visualization","matplotlib-pyplot","multivariate-regression","predictive-modeling","statistics"],"created_at":"2024-11-07T15:23:12.756Z","updated_at":"2025-07-07T07:07:04.083Z","avatar_url":"https://github.com/DarkDk123.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# House-valuation-model\nA Challenge Project in a Boot-Camp to create a ML Model to predict the prices of houses in Boston Massachusetts from multiple parameters Using Multivariable Regression.\n\n\nBuilding a Regression Model that can Provide a Home Price Estimate based on home's characteristics like:\n\n* The number of rooms\n* The distance to employment centres\n* How rich or poor the area is\n* How many students there are per teacher in local schools etc\n\n\u003cimg src=https://i.imgur.com/WfUSSP7.png height=350\u003e\u003cbr\u003e\u003cbr\u003e\n\u003cem style='font-weight: bold;'\u003e ⭐ Luckily we have got our Final Model's Accuracy a little good --\u003e\u003cbr\u003e\n• Accuracy on Training data : 79%\u003cbr\u003e\n• Accuracy on Testing data : 74%\n\u003c/em\u003e\n\n**Reference:**\n\nThis is a copy of [UCI ML housing dataset](https://archive.ics.uci.edu/ml/machine-learning-databases/housing/).\nThis dataset was taken from the StatLib library which is maintained at Carnegie Mellon University.\nYou can find the [original research paper here](https://deepblue.lib.umich.edu/bitstream/handle/2027.42/22636/0000186.pdf?sequence=1\u0026isAllowed=y). \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdarkdk123%2Fhouse-valuation-model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdarkdk123%2Fhouse-valuation-model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdarkdk123%2Fhouse-valuation-model/lists"}