{"id":24142027,"url":"https://github.com/khushi130404/placemetrix","last_synced_at":"2026-04-13T12:01:27.476Z","repository":{"id":268513210,"uuid":"904592911","full_name":"Khushi130404/Placemetrix","owner":"Khushi130404","description":"A machine learning-based placement prediction app using IQ and CQPA as inputs. Built with Python in Jupyter Notebook, leveraging scikit-learn, pandas, and matplotlib.","archived":false,"fork":false,"pushed_at":"2024-12-18T03:32:17.000Z","size":158,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-01T13:23:48.787Z","etag":null,"topics":["jupyter-notebook","machine-learning","matplotlib","python","scikit-learn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Khushi130404.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-17T07:32:54.000Z","updated_at":"2024-12-18T03:35:27.000Z","dependencies_parsed_at":"2024-12-17T08:48:51.407Z","dependency_job_id":null,"html_url":"https://github.com/Khushi130404/Placemetrix","commit_stats":null,"previous_names":["khushi130404/placemetrix"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Khushi130404/Placemetrix","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Khushi130404%2FPlacemetrix","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Khushi130404%2FPlacemetrix/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Khushi130404%2FPlacemetrix/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Khushi130404%2FPlacemetrix/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Khushi130404","download_url":"https://codeload.github.com/Khushi130404/Placemetrix/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Khushi130404%2FPlacemetrix/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31751705,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T09:16:15.125Z","status":"ssl_error","status_checked_at":"2026-04-13T09:16:05.023Z","response_time":93,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["jupyter-notebook","machine-learning","matplotlib","python","scikit-learn"],"created_at":"2025-01-12T04:55:19.270Z","updated_at":"2026-04-13T12:01:27.459Z","avatar_url":"https://github.com/Khushi130404.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Placemetrix\n\nPlacemetrix is a placement prediction application designed to predict placement outcomes based on IQ (Intelligence Quotient) and CQPA (Cumulative Quality Point Average). The project leverages machine learning models to analyze and predict whether a candidate is likely to get placed.\n\n## Features\n\nPlacement Prediction: Input IQ and CQPA to predict placement outcomes.\n\nData Visualization: Visualize data distributions and model performance using Matplotlib.\n\nUser-Friendly: Simple and straightforward implementation in a Jupyter Notebook.\n\n## Built With\n\nPython: Core programming language for development.\n\nJupyter Notebook: Interactive environment for code and visualization.\n\n## Libraries Used:\n\nscikit-learn: For machine learning model development and evaluation.\n\nMatplotlib: For visualizing data and results.\n\nPandas: For data manipulation and preprocessing.\n\nNumPy: For numerical computations.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkhushi130404%2Fplacemetrix","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkhushi130404%2Fplacemetrix","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkhushi130404%2Fplacemetrix/lists"}