{"id":19564640,"url":"https://github.com/anibalalpizar/python-deep-learning-houseprice-prediction","last_synced_at":"2026-05-15T10:37:19.763Z","repository":{"id":175988720,"uuid":"654818631","full_name":"anibalalpizar/python-deep-learning-houseprice-prediction","owner":"anibalalpizar","description":"Meters to price predictions using Python and deep learning.","archived":false,"fork":false,"pushed_at":"2023-06-17T03:44:01.000Z","size":1,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-08T23:45:40.075Z","etag":null,"topics":["deep-learning","deep-neural-networks","python","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","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/anibalalpizar.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":"2023-06-17T03:37:57.000Z","updated_at":"2023-06-17T03:46:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"1e404d3b-7e53-4dc1-ac19-3a69643276f1","html_url":"https://github.com/anibalalpizar/python-deep-learning-houseprice-prediction","commit_stats":null,"previous_names":["anibal-alpizar/python-deep-learning-houseprice-prediction","anibalalpizar/python-deep-learning-houseprice-prediction"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anibalalpizar%2Fpython-deep-learning-houseprice-prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anibalalpizar%2Fpython-deep-learning-houseprice-prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anibalalpizar%2Fpython-deep-learning-houseprice-prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anibalalpizar%2Fpython-deep-learning-houseprice-prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/anibalalpizar","download_url":"https://codeload.github.com/anibalalpizar/python-deep-learning-houseprice-prediction/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240823430,"owners_count":19863437,"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":["deep-learning","deep-neural-networks","python","tensorflow"],"created_at":"2024-11-11T05:22:54.820Z","updated_at":"2026-05-15T10:37:19.730Z","avatar_url":"https://github.com/anibalalpizar.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Python Deep Learning House Price prediction\n\nThis project implements a House Price prediction using deep learning techniques in Python with TensorFlow. The model utilizes a dense layer with one unit to perform the temperature House Price prediction.\n\n## Installation\n\n1. Clone the repository or download the files.\n\n2. Ensure that you have Python and the required libraries installed. You can install the dependencies using the following command:\n\n``pip install tensorflow numpy matplotlib``\n\n\n3. Run the `main.py` script to train the deep learning model and make House Price prediction.\n\n## Usage\n\nThe `main.py` script contains the main code of the project. When executed, the model will be trained using a predefined set of meters and price data. Subsequently, a plot of the loss magnitude during training will be displayed.\n\nAfter training, the deep learning model can be used to make conversion predictions by providing input values in price.\n\n## Contributions\n\nContributions are welcome. If you encounter any issues or have ideas for improvements, feel free to open an issue or submit a pull request.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanibalalpizar%2Fpython-deep-learning-houseprice-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanibalalpizar%2Fpython-deep-learning-houseprice-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanibalalpizar%2Fpython-deep-learning-houseprice-prediction/lists"}