{"id":18644845,"url":"https://github.com/zuruoke/quality_prediction_in-a_mining_process","last_synced_at":"2025-11-05T02:30:34.401Z","repository":{"id":113055702,"uuid":"240716071","full_name":"zuruoke/Quality_Prediction_in-a_Mining_Process","owner":"zuruoke","description":"Quality Prediction in a Mining Process Using Regressor Model","archived":false,"fork":false,"pushed_at":"2020-02-15T13:28:35.000Z","size":11,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-12-27T11:32:21.364Z","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/zuruoke.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":"2020-02-15T13:21:46.000Z","updated_at":"2020-02-15T13:29:38.000Z","dependencies_parsed_at":"2023-06-07T13:45:28.351Z","dependency_job_id":null,"html_url":"https://github.com/zuruoke/Quality_Prediction_in-a_Mining_Process","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zuruoke%2FQuality_Prediction_in-a_Mining_Process","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zuruoke%2FQuality_Prediction_in-a_Mining_Process/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zuruoke%2FQuality_Prediction_in-a_Mining_Process/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zuruoke%2FQuality_Prediction_in-a_Mining_Process/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zuruoke","download_url":"https://codeload.github.com/zuruoke/Quality_Prediction_in-a_Mining_Process/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239449541,"owners_count":19640532,"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":[],"created_at":"2024-11-07T06:13:49.016Z","updated_at":"2025-11-05T02:30:34.347Z","avatar_url":"https://github.com/zuruoke.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Quality Prediction in a Mining Process Using Regressor Model\n\n\nFroth flotation is a process for selectively separating hydrophobic materials from hydrophilic. \nHistorically this was first used in the mining industry and is very common in a mining plant, where it was one of the great enabling technologies of the 20th century.\n\nThe development of froth flotation has improved the recovery of valuable minerals, such as copper- and lead-bearing minerals. \nAlong with mechanized mining, it has allowed the economic recovery of valuable metals from much lower grade ore than previously.\n\nThis dataset I'll be using is about a flotation plant which is a process used to concentrate the iron ore. \n\nThe main goal is to use this data to predict how much impurity is in the ore concentrate. \nAs this impurity is measured every hour, if I can predict how much silica (impurity) is in the ore concentrate, this can help the engineers, giving them early information to take actions (empowering!). \nHence, they will be able to take corrective actions in advance (reduce impurity, if it is the case) and also help the environment (reducing the amount of ore that goes to tailings as you reduce silica in the ore concentrate).\n\nIn this kernel, I'll:\n\n1. Prepare the data for machine learning\n\n2. Train a model using a Regressor Model\n\n3. Measure \u0026 optimize the accuracy of your model\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzuruoke%2Fquality_prediction_in-a_mining_process","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzuruoke%2Fquality_prediction_in-a_mining_process","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzuruoke%2Fquality_prediction_in-a_mining_process/lists"}