{"id":25748453,"url":"https://github.com/jaymax01/housing-price-forecasting","last_synced_at":"2026-05-15T06:32:00.983Z","repository":{"id":192886355,"uuid":"687667202","full_name":"jaymax01/housing-price-forecasting","owner":"jaymax01","description":"Time series modeling of US real estate housing prices","archived":false,"fork":false,"pushed_at":"2023-09-05T19:04:18.000Z","size":12326,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-01-28T21:33:26.144Z","etag":null,"topics":["autoregressive-models","colab-notebook","data-visualization","deep-learning","feature-engineering","google-cloud","machine-learning","python","timeseries-forecasting"],"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/jaymax01.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}},"created_at":"2023-09-05T18:48:14.000Z","updated_at":"2023-09-18T11:19:05.000Z","dependencies_parsed_at":null,"dependency_job_id":"dc60d074-bee1-4c1a-bb96-6588a83723dd","html_url":"https://github.com/jaymax01/housing-price-forecasting","commit_stats":{"total_commits":4,"total_committers":1,"mean_commits":4.0,"dds":0.0,"last_synced_commit":"9e433ba8cb647da123b539045177635782ee28cf"},"previous_names":["jaymax01/housing-price-forecasting"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fhousing-price-forecasting","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fhousing-price-forecasting/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fhousing-price-forecasting/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fhousing-price-forecasting/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jaymax01","download_url":"https://codeload.github.com/jaymax01/housing-price-forecasting/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240851631,"owners_count":19868080,"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":["autoregressive-models","colab-notebook","data-visualization","deep-learning","feature-engineering","google-cloud","machine-learning","python","timeseries-forecasting"],"created_at":"2025-02-26T12:28:43.671Z","updated_at":"2026-05-15T06:31:55.965Z","avatar_url":"https://github.com/jaymax01.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n## Modeling US Housing Prices\n\n*Brokerage firms provide their customers insights and information on making investment decisions and the real estate market is one of them. The aim of this project is to draw insights and to develop a reliable time series model to predict housing prices in the United States with the aim of helping investors with their investment decisions.*\n\nFor a full presentation and description of the project access the Modeling US Housing prices pdf file in the data files section above\n\n\n## Project Outline\n\nData exploration and analysis\n\nFeature engineering and data preprocessing\n\nModel development and training\n\nModel perfomance and evaluation\n\nModel prediction\n\n\n## Documentation\n\n[Data source](https://www.redfin.com/news/data-center/)\n\n[Metadata](https://docs.google.com/spreadsheets/d/1YNT5VfZTwSnUK7nqGAPGZUqOVBbsIC_M1vTgYCCLtVg/edit#gid=635767466)\n\n[Pending sales dashboard](https://public.tableau.com/profile/maxwell.boafo#!/vizhome/Homesalesprices/pendingsales?publish=yes)\n\n[Family home values dashboard](https://public.tableau.com/app/profile/maxwell.boafo/viz/Familyhomevalues/zipcode)\n\n[Home sales prices dashboard](https://public.tableau.com/app/profile/maxwell.boafo/viz/Homesalesprices/salespricedist_)\n\n## Installation\n\nThe libraries used for the project include the following\n```\npandas\nnumpy\nmatplotlib\nseaborn\nstatsmodel\nkeras\ntensorflow\nfacebook prophet\n```\n    \n![Logo](https://github.com/jaymax01/housing-price-forecasting/blob/main/screenshot-docs.google.com-2023.09.05-21_39_33.png?raw=true)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaymax01%2Fhousing-price-forecasting","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjaymax01%2Fhousing-price-forecasting","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaymax01%2Fhousing-price-forecasting/lists"}