{"id":15195473,"url":"https://github.com/emhash/machine-learning-and-ai","last_synced_at":"2026-01-05T01:33:12.876Z","repository":{"id":255727730,"uuid":"853481692","full_name":"emhash/Machine-Learning-and-AI","owner":"emhash","description":"Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.","archived":false,"fork":false,"pushed_at":"2024-09-09T05:29:21.000Z","size":546,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-01T10:23:23.574Z","etag":null,"topics":["ai","datasets","ipynb","jupyter-notebook","keras","linear-regression","logistic-regression","machine-learning","machine-learning-algorithms","numpy","opencv","pandas","python","seaborn","sklearn","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/emhash.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":"2024-09-06T18:39:21.000Z","updated_at":"2024-09-09T05:29:25.000Z","dependencies_parsed_at":"2024-09-11T12:32:16.054Z","dependency_job_id":null,"html_url":"https://github.com/emhash/Machine-Learning-and-AI","commit_stats":null,"previous_names":["emhash/machine-learning-and-ai"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emhash%2FMachine-Learning-and-AI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emhash%2FMachine-Learning-and-AI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emhash%2FMachine-Learning-and-AI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emhash%2FMachine-Learning-and-AI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/emhash","download_url":"https://codeload.github.com/emhash/Machine-Learning-and-AI/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238579176,"owners_count":19495510,"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":["ai","datasets","ipynb","jupyter-notebook","keras","linear-regression","logistic-regression","machine-learning","machine-learning-algorithms","numpy","opencv","pandas","python","seaborn","sklearn","tensorflow"],"created_at":"2024-09-27T23:24:13.923Z","updated_at":"2025-10-28T01:30:37.277Z","avatar_url":"https://github.com/emhash.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning Codes and Algorithms for beginer to start.\n\n## Check the content. And Watch Demo and Use it. DON'T FORGOT TO GIVE A STAR 😊\n\n### The codes or ML Algorthms are oriented to easy to so on for the beginer who want to learn ML/AI and the contents are here to learn as what first and what next. Thanks.\n\n| Table of Contents |\n|--|\n|[1 -  Logistic Regration to Predict the placement yes or no by Draw a Linear Line](https://github.com/emhash/Machine-Learning-and-AI/blob/main/logistic_regration_placement_predict.ipynb) |\n|[2 - Simple Linear Regration to predict salary by year of exp. ](https://github.com/emhash/Machine-Learning-and-AI/blob/main/linear_regration_to_predict_salary.ipynb) |\n|[3 - Linear Regration to predict House price ](https://github.com/emhash/Machine-Learning-and-AI/blob/main/linear_reg_buston_housing.ipynb) |\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femhash%2Fmachine-learning-and-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Femhash%2Fmachine-learning-and-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femhash%2Fmachine-learning-and-ai/lists"}