{"id":17077364,"url":"https://github.com/govinddixit/salary-predictor","last_synced_at":"2026-07-23T00:32:06.145Z","repository":{"id":100526386,"uuid":"197245572","full_name":"GOVINDDIXIT/Salary-Predictor","owner":"GOVINDDIXIT","description":"A Salary predictor machine learning model based on Linear Regression, can be used to predict the salaries of the employees based on their experiences.","archived":false,"fork":false,"pushed_at":"2019-07-16T21:26:43.000Z","size":29,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-10-14T12:58:00.435Z","etag":null,"topics":["linear-regression","machine-learning","prediction-model"],"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/GOVINDDIXIT.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2019-07-16T18:15:18.000Z","updated_at":"2020-02-10T10:07:25.000Z","dependencies_parsed_at":"2023-05-15T17:30:33.116Z","dependency_job_id":null,"html_url":"https://github.com/GOVINDDIXIT/Salary-Predictor","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/GOVINDDIXIT/Salary-Predictor","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GOVINDDIXIT%2FSalary-Predictor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GOVINDDIXIT%2FSalary-Predictor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GOVINDDIXIT%2FSalary-Predictor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GOVINDDIXIT%2FSalary-Predictor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/GOVINDDIXIT","download_url":"https://codeload.github.com/GOVINDDIXIT/Salary-Predictor/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GOVINDDIXIT%2FSalary-Predictor/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":35783461,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-07-20T02:08:10.276Z","status":"online","status_checked_at":"2026-07-22T02:00:06.236Z","response_time":124,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["linear-regression","machine-learning","prediction-model"],"created_at":"2024-10-14T12:14:19.421Z","updated_at":"2026-07-23T00:32:06.137Z","avatar_url":"https://github.com/GOVINDDIXIT.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Salary Predictor\n\n*A Salary predictor machine learning model based on Linear Regression, can be used to predict the salaries of the employees based on their experiences.*\n\n### DataSet\nDataset consists of 30 entries of employess with the salaries based upon their experiences in years\n\n- *Training Set = 80% of total dataset = 24 entries*\n\n- *Test Set = 20% of total dataset = 6 entries*\n\nLinear Regression is a machine learning algorithm based on supervised learning. It performs a regression task. Regression models a target prediction value based on independent variables. It is mostly used for finding out the relationship between variables and forecasting. Different regression models differ based on – the kind of relationship between dependent and independent variables, they are considering and the number of independent variables being used.\n\n- *Plot of Salary vs Experince for Training Data*\n\n\u003cimg src=\"static/Training Set.png\" height = \"400\" width=\"600\"\u003e\n\n---------------------\n\n- *Plot of Salary vs Experince for Test Data*\n\n\u003cimg src=\"static/Test Set.png\" height = \"400\" width=\"600\"\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgovinddixit%2Fsalary-predictor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgovinddixit%2Fsalary-predictor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgovinddixit%2Fsalary-predictor/lists"}