{"id":19757039,"url":"https://github.com/seyedhosseinzadeh/ws_tm","last_synced_at":"2026-06-10T08:31:38.935Z","repository":{"id":81251912,"uuid":"451207752","full_name":"Seyedhosseinzadeh/WS_TM","owner":"Seyedhosseinzadeh","description":"Weather web scraping and Time series model to predict temperature, humidity and barometer","archived":false,"fork":false,"pushed_at":"2022-01-29T21:22:19.000Z","size":2402,"stargazers_count":2,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-28T09:20:07.408Z","etag":null,"topics":["data-analysis","deep-learning","lstm-model","machine-learning","prediction","prediction-model","weather","web-scraping"],"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/Seyedhosseinzadeh.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":"2022-01-23T19:23:17.000Z","updated_at":"2023-06-19T11:15:36.000Z","dependencies_parsed_at":null,"dependency_job_id":"f64369a6-1de5-42de-ac86-4897522b30ff","html_url":"https://github.com/Seyedhosseinzadeh/WS_TM","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Seyedhosseinzadeh/WS_TM","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Seyedhosseinzadeh%2FWS_TM","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Seyedhosseinzadeh%2FWS_TM/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Seyedhosseinzadeh%2FWS_TM/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Seyedhosseinzadeh%2FWS_TM/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Seyedhosseinzadeh","download_url":"https://codeload.github.com/Seyedhosseinzadeh/WS_TM/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Seyedhosseinzadeh%2FWS_TM/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34144679,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-10T02:00:07.152Z","response_time":89,"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":["data-analysis","deep-learning","lstm-model","machine-learning","prediction","prediction-model","weather","web-scraping"],"created_at":"2024-11-12T03:17:52.467Z","updated_at":"2026-06-10T08:31:38.914Z","avatar_url":"https://github.com/Seyedhosseinzadeh.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Weather web Scraping - Time series Model\nScraping www.timeanddate.com web with bs4 tool in python for London weather of 7 years.\n\"YearLondon_Weather\" is cleand data which I used it for models has 10222 records.\n\nI got two different types of data - Actually they have different date and hours split (raw data):\n\n- cleaned the data with separate months and days and some extra strings like wind units along with their numbers (dataset folder)\n\u003cimg src=\"/Pictures/Script.png\" width=\"1200\"\u003e\n\nAnalyse features (process_data) :\n- Temp, Barometer and Humidity changes in 7 years: \n\u003cimg src=\"/Pictures/SevenYear.png\" width=\"1200\"\u003e\n\nTest some ML models, RNN and LSTM models on dataset that you can see some results here.\n- Result of RNN:\n\u003cimg src=\"/Pictures/RNN_result.png\" width=\"500\"\u003e\n\n- Result of LSTM:\n\u003cimg src=\"/Pictures/LSTM_result.png\" width=\"250\"\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fseyedhosseinzadeh%2Fws_tm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fseyedhosseinzadeh%2Fws_tm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fseyedhosseinzadeh%2Fws_tm/lists"}