{"id":18764897,"url":"https://github.com/psygo/wages_statistics","last_synced_at":"2025-12-07T13:30:18.701Z","repository":{"id":155613877,"uuid":"150342570","full_name":"psygo/wages_statistics","owner":"psygo","description":"Predicting Wages with Neural Networks using Keras","archived":false,"fork":false,"pushed_at":"2018-09-25T23:49:19.000Z","size":276,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-12-29T05:43:03.668Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"http://fanaro.com.br/the-power-of-neural-networks-simple-wage-predictions-with-keras/","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/psygo.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":"2018-09-25T23:48:35.000Z","updated_at":"2019-07-29T22:25:26.000Z","dependencies_parsed_at":null,"dependency_job_id":"9d77f8de-dd2f-4d4f-8861-f616275cf05a","html_url":"https://github.com/psygo/wages_statistics","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/psygo%2Fwages_statistics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psygo%2Fwages_statistics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psygo%2Fwages_statistics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psygo%2Fwages_statistics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/psygo","download_url":"https://codeload.github.com/psygo/wages_statistics/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239662755,"owners_count":19676438,"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":[],"created_at":"2024-11-07T18:31:57.572Z","updated_at":"2025-12-07T13:30:18.233Z","avatar_url":"https://github.com/psygo.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Predicting Wages with Neural Networks\n\nThe main file of this repo is the `Wages.ipynb` Jupyter Notebook. In it, you will find:\n\n- A Keras Neural Network Model\n- A Linear Regression Model using Scikit-Learn\n- Various Data and Model Plots\n\nThe other files are:\n\n- `hourly_wages.csv` which holds all the data.\n- `map_model.py` which tries to find the best values for the number of units in the Neural Network.\n- `wages.py` which holds the models and the plots that are in the Jupyter Notebook.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpsygo%2Fwages_statistics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpsygo%2Fwages_statistics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpsygo%2Fwages_statistics/lists"}