{"id":21810041,"url":"https://github.com/abhik1711/iplscorepredictor","last_synced_at":"2026-05-06T21:39:23.993Z","repository":{"id":245535724,"uuid":"818618127","full_name":"abhik1711/IPLScorePredictor","owner":"abhik1711","description":" This Streamlit webapp enables user to predict total runs between teams using current runs and wickets.","archived":false,"fork":false,"pushed_at":"2024-06-22T11:00:43.000Z","size":10018,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-21T08:48:52.182Z","etag":null,"topics":["jupyter-notebook","python"],"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/abhik1711.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":"2024-06-22T10:55:37.000Z","updated_at":"2024-06-22T11:01:13.000Z","dependencies_parsed_at":"2024-06-22T17:02:39.806Z","dependency_job_id":"5c8c66fa-c52d-42c9-9968-dd849dae97a8","html_url":"https://github.com/abhik1711/IPLScorePredictor","commit_stats":null,"previous_names":["abhik1711/iplscorepredictor"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/abhik1711/IPLScorePredictor","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abhik1711%2FIPLScorePredictor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abhik1711%2FIPLScorePredictor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abhik1711%2FIPLScorePredictor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abhik1711%2FIPLScorePredictor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/abhik1711","download_url":"https://codeload.github.com/abhik1711/IPLScorePredictor/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abhik1711%2FIPLScorePredictor/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32713451,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-06T19:35:05.142Z","status":"ssl_error","status_checked_at":"2026-05-06T19:35:03.996Z","response_time":117,"last_error":"SSL_read: 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","python"],"created_at":"2024-11-27T13:30:17.719Z","updated_at":"2026-05-06T21:39:23.974Z","avatar_url":"https://github.com/abhik1711.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# IPL Score Predictor\n\nThis Streamlit webapp enables user to predict total runs between teams using current runs and wickets.\n\n**Algorithms used:**\n\n* Linear Regression\n* K-Nearest Neighbor Regressor \n* RandomForest Regressor\n* Decision Tree Regressor\n\n**Hyperparamter Optimization:**\n\nUsed optuna for paramter optimization.\n\n**Dataset:**\n\nThe dataset comprises of over by over details of matches and runs from 2008 to 2020.\n\nDataset Used: ipl_data.csv\n\n* mid - match id\n* date - when matches are played\n* venue - place where matches aew played\n* bat_team - batting team\n* bowl_team - bowling team\n* batsman - batsman\n* bowler - bowler\n* runs - runs scored\n* wickets - wickets\n* overs - overs - next 3 are based on this\n* run_last_5 - runs scored in last 5 overs\n* wicket_last_5 - wickets in last 5 overs\n* stricker - batsman playing as main 1\n* non-striker - batsman playing as runner up - not main 0\n* total - total score (target variable)\n\n**Streamlit App**\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhik1711%2Fiplscorepredictor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabhik1711%2Fiplscorepredictor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhik1711%2Fiplscorepredictor/lists"}