{"id":26491706,"url":"https://github.com/danielc92/rain_prediction","last_synced_at":"2026-05-03T21:32:31.425Z","repository":{"id":100324434,"uuid":"166719752","full_name":"danielc92/rain_prediction","owner":"danielc92","description":"Predicting whether it will rain the next day (in Australia) using machine learning models.","archived":false,"fork":false,"pushed_at":"2019-01-22T04:53:32.000Z","size":3836,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-08-01T10:11:53.272Z","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/danielc92.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":"2019-01-20T23:14:35.000Z","updated_at":"2021-11-21T05:58:20.000Z","dependencies_parsed_at":"2023-05-13T19:20:28.339Z","dependency_job_id":null,"html_url":"https://github.com/danielc92/rain_prediction","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/danielc92/rain_prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/danielc92%2Frain_prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/danielc92%2Frain_prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/danielc92%2Frain_prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/danielc92%2Frain_prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/danielc92","download_url":"https://codeload.github.com/danielc92/rain_prediction/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/danielc92%2Frain_prediction/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32586187,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-03T06:36:36.687Z","status":"ssl_error","status_checked_at":"2026-05-03T06:36:09.306Z","response_time":103,"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":[],"created_at":"2025-03-20T08:50:17.330Z","updated_at":"2026-05-03T21:32:31.420Z","avatar_url":"https://github.com/danielc92.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Rain Prediction in Australia\nAttempting to build a machine learning model(s) to predict whether it will rain the next day in Australia. The [dataset](https://www.kaggle.com/jsphyg/weather-dataset-rattle-package) used in this project has approx 140k rows and 24 features. \n\n# Before you get started\n- Good understanding of pandas library\n- Intermediate understanding of sklearn library (random forest classifier, gridsearchCV, train test split)\n- Basic usage of jupyter notebooks\n\n# Setup\n**How to obtain this repository:**\n```sh\ngit clone https://github.com/danielc92/rain_prediction.git\n```\n**Modules/dependencies:**\n- `pandas`\n- `jupyter`\n- `sklearn`\n\nInstall the following dependences:\n```sh\ncd /local/location/of/this/repo\npip install pandas jupyter sklearn\n```\n\n# Tests\n- Feature engineering on source dataset\n- Built model with/without `pandas.get_dummies` process\n\n# Contributors\n- Daniel Corcoran\n\n# Sources\n- [Dataset from `kaggle`](https://www.kaggle.com/jsphyg/weather-dataset-rattle-package)\n- [Random Forest Classifier from `sklearn`](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanielc92%2Frain_prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdanielc92%2Frain_prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanielc92%2Frain_prediction/lists"}