{"id":21289300,"url":"https://github.com/agnivchtj/us-census-classifier","last_synced_at":"2026-05-07T20:04:25.610Z","repository":{"id":102959634,"uuid":"311168958","full_name":"agnivchtj/US-Census-Classifier","owner":"agnivchtj","description":"Find the optimal classification algorithm that can predict salaries above $50k, based on US Census data.","archived":false,"fork":false,"pushed_at":"2020-11-08T22:49:47.000Z","size":324,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-22T05:43:15.295Z","etag":null,"topics":["census-data","decision-tree-classifier","jupyter-notebooks","knn-classifier","logistic-regression","naive-bayes-classifier","python","scikit-learn","svm-classifier"],"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/agnivchtj.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":"2020-11-08T22:39:39.000Z","updated_at":"2021-03-12T16:36:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"ba60c1c0-5844-458c-9d42-870f5b0aaf64","html_url":"https://github.com/agnivchtj/US-Census-Classifier","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/agnivchtj%2FUS-Census-Classifier","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agnivchtj%2FUS-Census-Classifier/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agnivchtj%2FUS-Census-Classifier/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agnivchtj%2FUS-Census-Classifier/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/agnivchtj","download_url":"https://codeload.github.com/agnivchtj/US-Census-Classifier/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243754009,"owners_count":20342537,"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":["census-data","decision-tree-classifier","jupyter-notebooks","knn-classifier","logistic-regression","naive-bayes-classifier","python","scikit-learn","svm-classifier"],"created_at":"2024-11-21T12:38:34.108Z","updated_at":"2026-05-07T20:04:20.566Z","avatar_url":"https://github.com/agnivchtj.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# US Census Classifier\n\nFor this project, a dataset from the American 1994 Census is explored and used to train a classifier. The data is stored in tabular format and contains over 16,000 samples.\nThe objective is to implement a binary classifier that can predict whether a person makes over $50,000 a year using the dataset.\nThe dataset has the following 11 attributes: Age, Education-num, Hours-per-week, Work class, Education, Marital-status, Occupation, Relationship, Race, Sex, Native-country with Salary as target variable.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagnivchtj%2Fus-census-classifier","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fagnivchtj%2Fus-census-classifier","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagnivchtj%2Fus-census-classifier/lists"}