{"id":27016163,"url":"https://github.com/anuj0918/machine-learning-algorithm","last_synced_at":"2026-05-15T18:02:04.123Z","repository":{"id":232376168,"uuid":"737529345","full_name":"Anuj0918/Machine-Learning-Algorithm","owner":"Anuj0918","description":"About This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML .","archived":false,"fork":false,"pushed_at":"2024-04-09T11:35:19.000Z","size":266,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-08-14T05:52:44.539Z","etag":null,"topics":["data-science","linear-regression","machine-learning","python"],"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/Anuj0918.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}},"created_at":"2023-12-31T11:53:29.000Z","updated_at":"2024-04-09T11:28:07.000Z","dependencies_parsed_at":"2024-04-09T14:48:08.829Z","dependency_job_id":null,"html_url":"https://github.com/Anuj0918/Machine-Learning-Algorithm","commit_stats":null,"previous_names":["anuj0918/anuj0918"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anuj0918%2FMachine-Learning-Algorithm","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anuj0918%2FMachine-Learning-Algorithm/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anuj0918%2FMachine-Learning-Algorithm/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anuj0918%2FMachine-Learning-Algorithm/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Anuj0918","download_url":"https://codeload.github.com/Anuj0918/Machine-Learning-Algorithm/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247198466,"owners_count":20900082,"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-science","linear-regression","machine-learning","python"],"created_at":"2025-04-04T15:18:40.849Z","updated_at":"2025-11-09T11:30:57.164Z","avatar_url":"https://github.com/Anuj0918.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"#Machine Learning\n\n1️⃣ Basic\n    ✅Types of ML\n    ✅Challenges in ML\n    ✅Overfitting and Underfitting\n    🔴Testing and Validation\n    🔴Cross Validation\n    🔴Grid Search\n    🔴Random Search\n    🔴Confusion Matrix\n    🔴Precision, Recall ], F1 Score\n    🔴ROC-AUC Curve\n \n🔥 Machine-Learning\n1️⃣ K- Nearest Neighbour:-\n       - Theory\n       - Implementation\n       \n2️⃣ Linear Regression\n       - What is Linear Regression\n       - What is gradient descent\n      \n    \n 3️⃣ Logistic Regression\n      - Hypothesis function\n      - Log Loss\n      - Proof of Log loss by MLE\n      - Gradient Descent Update rule for Logistic Regression\n      - Gradient Descent Implementation of Logistic Regression\n      🔴Multiclass Classification\n      - Sk-Learn Implementation of Logistic Regression on chemical classification dataset.\n      \n      \n5️⃣ Naive Bayes\n      - Bayes Theorem Formula \n      - Bayes Theorem - Spam or not\n      - Bayes Theorem - Disease or not\n      - Mushroom Classification\n      - Text Classification\n      🔴 Project on Naive Bayes\n      \n6️⃣ Decision Tree \n      - Entropy\n      - Information Gain\n      - Process Kaggle Titanic Dataset \n      - Implementation of Information Gain\n      - Implementation of Decision Tree\n      - Making Predictions\n      - Decision Trees using Sci-kit Learn\n  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanuj0918%2Fmachine-learning-algorithm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanuj0918%2Fmachine-learning-algorithm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanuj0918%2Fmachine-learning-algorithm/lists"}