{"id":24539664,"url":"https://github.com/codeasarjun/predict-the-salary","last_synced_at":"2025-10-07T15:06:22.620Z","repository":{"id":50659674,"uuid":"515135760","full_name":"codeasarjun/Predict-the-Salary","owner":"codeasarjun","description":null,"archived":false,"fork":false,"pushed_at":"2024-02-16T06:53:04.000Z","size":17716,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-16T04:42:21.851Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/codeasarjun.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}},"created_at":"2022-07-18T10:24:10.000Z","updated_at":"2022-07-18T10:41:38.000Z","dependencies_parsed_at":"2025-08-10T16:39:38.689Z","dependency_job_id":null,"html_url":"https://github.com/codeasarjun/Predict-the-Salary","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/codeasarjun/Predict-the-Salary","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeasarjun%2FPredict-the-Salary","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeasarjun%2FPredict-the-Salary/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeasarjun%2FPredict-the-Salary/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeasarjun%2FPredict-the-Salary/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/codeasarjun","download_url":"https://codeload.github.com/codeasarjun/Predict-the-Salary/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeasarjun%2FPredict-the-Salary/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":269754202,"owners_count":24470524,"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","status":"online","status_checked_at":"2025-08-10T02:00:08.965Z","response_time":71,"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":[],"created_at":"2025-01-22T17:15:12.956Z","updated_at":"2025-10-07T15:06:17.585Z","avatar_url":"https://github.com/codeasarjun.png","language":"Jupyter Notebook","readme":"# Predict-the-Salary\n\nThis project aims to predict salaries based on survey data using Python, Streamlit, and Linear Regression. The dataset used for this project is the \"survey_2021.csv\" obtained from Kaggle.\n\n# 🌟 What is Streamlit?\n\nStreamlit is an open-source Python library that makes it easy to create web applications for machine learning and data science projects. It allows developers to quickly build interactive web apps using simple Python scripts, making it an ideal choice for showcasing data analysis and machine learning models.\n\n# 📊 Understanding Linear Regression\n\nLinear Regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. In this project, Linear Regression is employed to predict salary based on various features such as education level, years of experience, job title, etc.\n\n\n# 📊 The  Dataset\nThe \"survey_2021.csv\" dataset from Kaggle contains information collected from a survey conducted in 2021. It includes features such as:\n\nSalary\u003cbr\u003e\nEducation Level\u003cbr\u003e\nYears of Experience\u003cbr\u003e\nJob Title\u003cbr\u003e\nLocation\u003cbr\u003e\nIndustry\u003cbr\u003e\n\n# 🚀 Running the Application\n\nClone this Repository: Grab your cape and clone this repository to your local machine.\u003cbr\u003e\nInstall Dependencies: Use  pip command to install the required dependencies\u003cbr\u003e\nDataset Placement: Place the \"survey_2021.csv\" dataset in the project directory..\u003cbr\u003e\nLaunch the Streamlit App: Run the Streamlit app by executing streamlit run app.py in your terminal. Access the web application through the provided link.\u003cbr\u003e\nUser need to select the country, education level and total work experience\u003cbr\u003e\n\u003chr\u003e\n\u003cimg src=\"https://github.com/codeasarjun/Predict-the-Salary/blob/master/salary_pr_other_options.png\"\u003e\n\u003chr\u003e\n# Output\n\n\u003cimg src=\"https://github.com/codeasarjun/Predict-the-Salary/blob/master/salary_pr_predicted.png\"\u003e\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodeasarjun%2Fpredict-the-salary","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodeasarjun%2Fpredict-the-salary","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodeasarjun%2Fpredict-the-salary/lists"}