{"id":19068977,"url":"https://github.com/kmohamedalie/supervised_machine_learning-classification","last_synced_at":"2025-10-09T15:34:24.701Z","repository":{"id":184222873,"uuid":"671514962","full_name":"Kmohamedalie/Supervised_Machine_Learning-Classification","owner":"Kmohamedalie","description":"Supervised Machine Learning Algorithms","archived":false,"fork":false,"pushed_at":"2023-10-10T19:03:08.000Z","size":5003,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-02T15:32:03.021Z","etag":null,"topics":["decision-tree-classifier","knn-classifier","lasso-regression","naive-bayes-algorithm","precison-recall","random-forest","ridge-regression","support-vector-machines"],"latest_commit_sha":null,"homepage":"https://github.com/Kmohamedalie/Supervised_Machine_Learning","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Kmohamedalie.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":"2023-07-27T13:47:08.000Z","updated_at":"2023-07-31T23:18:27.000Z","dependencies_parsed_at":"2023-07-27T16:53:56.571Z","dependency_job_id":"88f70ce6-a820-4e65-98db-1266d53f6c8d","html_url":"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification","commit_stats":null,"previous_names":["kmohamedalie/supervised_machine_learning","kmohamedalie/supervised_machine_learning-classification"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kmohamedalie%2FSupervised_Machine_Learning-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kmohamedalie%2FSupervised_Machine_Learning-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kmohamedalie%2FSupervised_Machine_Learning-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kmohamedalie%2FSupervised_Machine_Learning-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Kmohamedalie","download_url":"https://codeload.github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240122476,"owners_count":19751140,"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":["decision-tree-classifier","knn-classifier","lasso-regression","naive-bayes-algorithm","precison-recall","random-forest","ridge-regression","support-vector-machines"],"created_at":"2024-11-09T01:12:53.823Z","updated_at":"2025-10-09T15:34:19.664Z","avatar_url":"https://github.com/Kmohamedalie.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Supervised Machine Learning - Classification Algorithms\nCourse: 365datascience - \u003ca href=\"https://www.udemy.com/course/the-supervised-machine-learning-course/learn/lecture/33662468#overview\"\u003eSupervised  Machine Learning Bootcamp\u003c/a\u003e\n\n\n\n\u003ca href='https://developers.google.com/machine-learning/intro-to-ml/supervised'\u003e**Supervised learning:**\u003c/a\u003e is a type of machine learning in which machine learn\nfrom known datasets (set of training examples), and then predict the output.\nA supervised learning agent needs to find out the function that matches a given sample set.\nSupervised learning further can be classified into two categories of algorithms:\n\n1) **Regression :** When the outcome is pure numeric value. \n\teg : Home price prediction. You are trying to estimate value of price.\n\n2) **Classification :** When the outcome is a category/class. \n\teg: Fraud detection. You are trying to identify Yes/No class\n\n\u003cbr\u003e\nHowever in this repository we will be focusing solely on the following classification algorithms:\n\u003cbr\u003e\n\u003cbr\u003e\n\u003ctable\u003e\n   \u003cthead\u003e\n      \u003ctr\u003e\n         \u003cth\u003eAlgorithms\u003c/th\u003e \n         \u003cth\u003eNotebooks\u003c/th\u003e\n        \u003cth\u003eDatasets\u003c/th\u003e\n      \u003c/tr\u003e\n   \u003c/thead\u003e\n   \u003ctbody\u003e\n      \u003ctr\u003e\n        \u003ctd\u003e\u003ca href=\"https://learn.365datascience.com/courses/preview/machine-learning-with-naive-bayes/\"\u003eNaïve Bayes \u003c/a\u003e\u003c/td\u003e\n        \u003ctd\u003e\u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/blob/master/notebooks/Na%C3%AFve_Bayes_Algorithm%20-%20Youtube_Dataset.ipynb\"\u003eMultinomialNB \u003c/a\u003e\u003c/td\u003e\n        \u003ctd\u003e\u003ca href=\"https://archive.ics.uci.edu/dataset/380/youtube+spam+collection\"\u003eYoutube Spam Collection \u003c/a\u003e\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n        \u003ctd\u003e\u003ca href=\"https://learn.365datascience.com/courses/preview/machine-learning-with-k-nearest-neighbors/\"\u003eK-Nearest Neighbors \u003c/a\u003e\u003c/td\u003e\n        \u003ctd\u003e\u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/blob/master/notebooks/K_Nearest_Neighbors_using_Grid_Search.ipynb\"\u003eK-NN Grid Search CV \u003c/a\u003e\u003c/td\u003e\n        \u003ctd\u003e\u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/blob/master/notebooks/K_Nearest_Neighbors_using_Grid_Search.ipynb\"\u003eSynthetic Data \u003c/a\u003e\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n        \u003ctd\u003e\u003ca href=\"\"\u003eLogistic Regression \u003c/a\u003e\u003c/td\u003e\n        \u003ctd\u003e\u003ca href=\"\"\u003e \u003c/a\u003e\u003c/td\u003e\n        \u003ctd\u003e\u003ca href=\"\"\u003e\u003c/a\u003e\u003c/td\u003e\n      \u003c/tr\u003e   \n      \u003ctr\u003e\n        \u003ctd\u003e\u003ca href=\"https://learn.365datascience.com/courses/preview/machine-learning-with-decision-trees-and-random-forests/\"\u003eDecision Tree - Random Forests\u003c/a\u003e\u003c/td\u003e\n        \u003ctd\u003e\u003ca href=\"\"\u003e \u003c/a\u003e \u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/blob/master/notebooks/Decision_Tree_Iris_Flower.ipynb\"\u003eDecision Tree\u003c/a\u003e ,\n\t\t\u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/blob/master/notebooks/Random_Forest_Glass_Identification_dataset.ipynb\"\u003eRF - Glass Identification\u003c/a\u003e, \u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/blob/master/notebooks/Random_Forest_Census_Income_dataset.ipynb\"\u003eRF - Census Income\u003c/a\u003e\n\t\u003c/td\u003e\n        \u003ctd\u003e\n\t\t\u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/blob/master/datasets/Iris.csv\"\u003eIris Flower \u003c/a\u003e,\n\t        \u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/blob/master/datasets/glass.csv\"\u003e Glass Identification \u003c/a\u003e,\n\t        \u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/tree/master/datasets/Census_Income_Dataset\"\u003eCensus Income\u003c/a\u003e\t\n        \u003c/td\u003e\n      \u003ctr\u003e\n        \u003ctd\u003e\u003ca href=\"https://learn.365datascience.com/courses/preview/machine-learning-with-support-vector-machines/\"\u003eSupport Vector Machines \u003c/a\u003e\u003c/td\u003e \n        \u003ctd\u003e\u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/blob/master/notebooks/Support_Vector_Machine_Algorithm_Mushroom.ipynb\"\u003e SVM\u003c/a\u003e\u003c/td\u003e\n        \u003ctd\u003e\u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/blob/master/datasets/mushrooms-full-dataset.csv\"\u003eMushroom \u003c/a\u003e\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n        \u003ctd\u003e\u003ca href=\"\"\u003eEnsemble - Xgboost \u003c/a\u003e\u003c/td\u003e\n\t\u003ctd\u003e\u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/blob/master/notebooks/Xgboost_Algorithm_IBM_Telco_Customer_Churn.ipynb\"\u003eXgboost\u003c/a\u003e\u003c/td\u003e\n        \u003ctd\u003e\u003ca href=\"https://github.com/Kmohamedalie/Supervised_Machine_Learning-Classification/blob/master/datasets/Telco-Customer-Churn.csv\"\u003e IBM Telco Customer Churn\u003c/a\u003e\u003c/td\u003e\n      \u003c/tr\u003e       \n   \u003c/tbody\u003e\n\u003c/table\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkmohamedalie%2Fsupervised_machine_learning-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkmohamedalie%2Fsupervised_machine_learning-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkmohamedalie%2Fsupervised_machine_learning-classification/lists"}