{"id":23224022,"url":"https://github.com/junaidsalim/machine_learning_a-z","last_synced_at":"2026-05-10T03:18:23.258Z","repository":{"id":220377786,"uuid":"751486637","full_name":"JunaidSalim/Machine_Learning_A-Z","owner":"JunaidSalim","description":"This repository contains Python implementations of various machine learning models that I studied during the Machine Learning A-Z course.","archived":false,"fork":false,"pushed_at":"2024-09-18T06:07:56.000Z","size":6237,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-04T00:04:14.040Z","etag":null,"topics":["association","associative-learning","data-science","datapreprocessing","jupyter-notebook","machine-learning","machinelearning","machinelearning-python","nlp","python","regression","reinforcement-learning"],"latest_commit_sha":null,"homepage":"","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/JunaidSalim.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":"2024-02-01T17:50:43.000Z","updated_at":"2024-09-18T06:08:30.000Z","dependencies_parsed_at":"2024-06-16T08:11:44.706Z","dependency_job_id":"ade0d839-0f21-483e-9326-f00bac823325","html_url":"https://github.com/JunaidSalim/Machine_Learning_A-Z","commit_stats":null,"previous_names":["junaidsalim/machine_learning_a-z"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/JunaidSalim/Machine_Learning_A-Z","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JunaidSalim%2FMachine_Learning_A-Z","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JunaidSalim%2FMachine_Learning_A-Z/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JunaidSalim%2FMachine_Learning_A-Z/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JunaidSalim%2FMachine_Learning_A-Z/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JunaidSalim","download_url":"https://codeload.github.com/JunaidSalim/Machine_Learning_A-Z/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JunaidSalim%2FMachine_Learning_A-Z/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263421911,"owners_count":23464047,"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":["association","associative-learning","data-science","datapreprocessing","jupyter-notebook","machine-learning","machinelearning","machinelearning-python","nlp","python","regression","reinforcement-learning"],"created_at":"2024-12-18T23:29:50.586Z","updated_at":"2026-05-10T03:18:23.212Z","avatar_url":"https://github.com/JunaidSalim.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning A-Z\nThis repository features Python implementations of a wide range of machine learning models that I explored during the Machine Learning A-Z course. The models cover Regression, Classification, Clustering, Reinforcement Learning, Association Rule Learning, Natural Language Processing (NLP), as well as Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN)\n\n# Repository Structure\n```\nMachine Learning A-Z/\n├── Model Selection/\n│   ├── Classification\n│   └── Regression\n├── Part 1 - Data Preprocessing\n├── Part 2 - Regression/\n│   ├── Section 4 - Simple Linear Regression\n│   ├── Section 5 - Multiple Linear Regression\n│   ├── Section 6 - Polynomial Regression\n│   ├── Section 7 - Support Vector Regression (SVR)\n│   ├── Section 8 - Decision Tree Regression\n│   └── Section 9 - Random Forest Regression  \n├── Part 3 - Classification/\n│   ├── Section 14 - Logistic Regression\n│   ├── Section 15 - K-Nearest Neighbors (K-NN)\n│   ├── Section 16 - Support Vector Machine (SVM)\n│   ├── Section 17 - Kernel SVM\n│   ├── Section 18 - Naive Byes\n│   ├── Section 19 - Decision Tree Classification\n│   └── Section 20 - Random Forest Classification\n├── Part 4 - Clustering/\n│   ├── Section 24 - K-Means Clustering\n│   └── Section 25 - Heirarchical Clustering\n├── Part 5 - Association Rule Learning/\n│   ├── Section 28 - Apriori\n│   └── Section 29 - Eclat\n├── Part 6 - Reinforcement Learning/\n│   ├── Section 32 - Upper Confidence Bound (UCB)\n│   └── Section 33 - Thompson Sampling\n├── Part 7 - Natural Language Processing  \n├── Part 8 - Deep Learning/\n│   ├── Section 39 - Artificial Neural Network (ANN)\n│   └── Section 40 - Convolutional Neural Network (CNN) \n├── Part 9 - Dimensionality Reduction/\n│   ├── Section 43 - Principal Component Analysis (PCA)\n│   ├── Section 44 - Linear Discriminant Analysis (LDA)\n│   └── Section 45 - Kernel PCA\n└── Part 10 - Model Selection and Boosting/\n    ├── Section 48 - Model Selection\n    ├── Section 49 - XGBoost\n    └── Section 50 - CatBoost\n```\n\n# [Course Certificate](https://www.udemy.com/certificate/UC-fd154b0b-1ef0-4899-83f6-2ecea2dafbf7/)\n![Certificate](https://github.com/user-attachments/assets/31373558-1503-40a1-b58b-b222e44499af)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjunaidsalim%2Fmachine_learning_a-z","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjunaidsalim%2Fmachine_learning_a-z","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjunaidsalim%2Fmachine_learning_a-z/lists"}