{"id":19931582,"url":"https://github.com/abtinz/machine-learning-with-python","last_synced_at":"2025-07-29T05:02:59.703Z","repository":{"id":44365716,"uuid":"458606056","full_name":"Abtinz/Machine-Learning-with-Python","owner":"Abtinz","description":"Machine Learning with Python in Jupiter ","archived":false,"fork":false,"pushed_at":"2024-06-16T15:35:43.000Z","size":14743,"stargazers_count":6,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-07T15:02:01.659Z","etag":null,"topics":["data-mining","data-science","fuzzy-logic","machine-learning","matplotlib","numpy","pandas","preprocessing","regression"],"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/Abtinz.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":"2022-02-12T18:28:40.000Z","updated_at":"2024-07-01T06:36:32.000Z","dependencies_parsed_at":"2024-04-13T15:46:37.237Z","dependency_job_id":"448731a0-3be5-40b6-add0-5d524e9b8f04","html_url":"https://github.com/Abtinz/Machine-Learning-with-Python","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/Abtinz%2FMachine-Learning-with-Python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abtinz%2FMachine-Learning-with-Python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abtinz%2FMachine-Learning-with-Python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abtinz%2FMachine-Learning-with-Python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Abtinz","download_url":"https://codeload.github.com/Abtinz/Machine-Learning-with-Python/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252179282,"owners_count":21707108,"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":["data-mining","data-science","fuzzy-logic","machine-learning","matplotlib","numpy","pandas","preprocessing","regression"],"created_at":"2024-11-12T23:07:30.864Z","updated_at":"2025-05-03T10:32:34.624Z","avatar_url":"https://github.com/Abtinz.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine-Learning-with-Python\n\nWelcome to my repository documenting the learning journey through various machine learning techniques and models. This collection encapsulates my hands-on experience with a range of methodologies aimed at both Supervised and Unsupervised Learning, Including Regression and Classification Models, Clustering Techniques, and Recommendation Systems.\n\nIntroduction and Data Processing:\n    \n   * Matplotlib, Numpy, Pandas\n   * Statics and Plots:\n        * varianse, mean, mode, median\n        * Box Plot\n        * Skewness and Quartiles\n        * Q-Q Plot\n        * Histogram Analysis\n        * Correlation Detection\n          \n   * Data Cleaning\n   * Normalizing\n   * Missed Data\n\nRegression :\n    \n   * Simple Liner Regression\n   * Multiple Inputs\n   * Polynominal Regression\n   * NoneLiner Regression\n    \nClassification:\n\n   * KNN\n   * Decision Tree\n   * Logestic Regression\n   * Separated vector machine\n   \nClustering:\n  \n   * KMeans\n   * Hieracialy\n   * DBSCAN\n\nRecommandation systems:\n   \n   * Context Base\n   * Collabrative Base\n\nData Mining:\n\n   * Pre Processing\n   * Regression\n   * Classification\n   * Clustering\n\nComputational Intelligence:\n\n   * Fuzzy Logic\n   * Genetic Algorithms\n\n   \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabtinz%2Fmachine-learning-with-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabtinz%2Fmachine-learning-with-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabtinz%2Fmachine-learning-with-python/lists"}