{"id":19932818,"url":"https://github.com/abhiramdodda/rainfall_prediction","last_synced_at":"2026-04-12T12:37:42.758Z","repository":{"id":49393241,"uuid":"517617633","full_name":"AbhiramDodda/Rainfall_Prediction","owner":"AbhiramDodda","description":"Machine Learning model built on Telangana dataset cropped from Indian weather dataset merged with average temperature dataset","archived":false,"fork":false,"pushed_at":"2024-03-10T13:48:02.000Z","size":2117,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-01T11:44:47.660Z","etag":null,"topics":["numpy","pandas","python3","scikit-learn","scikitlearn-machine-learning"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AbhiramDodda.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":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-07-25T10:25:11.000Z","updated_at":"2025-01-04T06:17:53.000Z","dependencies_parsed_at":"2024-11-19T20:45:47.833Z","dependency_job_id":null,"html_url":"https://github.com/AbhiramDodda/Rainfall_Prediction","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/AbhiramDodda/Rainfall_Prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhiramDodda%2FRainfall_Prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhiramDodda%2FRainfall_Prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhiramDodda%2FRainfall_Prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhiramDodda%2FRainfall_Prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AbhiramDodda","download_url":"https://codeload.github.com/AbhiramDodda/Rainfall_Prediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhiramDodda%2FRainfall_Prediction/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265630756,"owners_count":23801670,"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":["numpy","pandas","python3","scikit-learn","scikitlearn-machine-learning"],"created_at":"2024-11-12T23:11:37.381Z","updated_at":"2026-04-12T12:37:42.714Z","avatar_url":"https://github.com/AbhiramDodda.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Rainfall_Prediction\nMy first Machine Learning Model\n\nI did this project as a part of AAC, an academic club in my college.\n\n### Dataset\nThe dataset we used is croped from the original dataset found on Kaggle. We wanted to predict average annual rainfall. The dataset initially did not have average temperatures column so we had to take another dataset which had annual average temperatures and merged both.\n\n\n### Model\nThe model we used is multiple linear regression.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhiramdodda%2Frainfall_prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabhiramdodda%2Frainfall_prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhiramdodda%2Frainfall_prediction/lists"}