{"id":19250438,"url":"https://github.com/codebytemirza/ml_practices","last_synced_at":"2026-01-07T15:10:52.369Z","repository":{"id":251107724,"uuid":"836414867","full_name":"codebytemirza/ML_Practices","owner":"codebytemirza","description":null,"archived":false,"fork":false,"pushed_at":"2024-07-31T20:35:14.000Z","size":6,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-03T20:11:58.554Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/codebytemirza.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":"2024-07-31T19:53:17.000Z","updated_at":"2024-09-06T04:13:31.000Z","dependencies_parsed_at":"2024-08-01T00:09:23.999Z","dependency_job_id":null,"html_url":"https://github.com/codebytemirza/ML_Practices","commit_stats":null,"previous_names":["codebytemirza/ml_practices"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codebytemirza%2FML_Practices","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codebytemirza%2FML_Practices/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codebytemirza%2FML_Practices/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codebytemirza%2FML_Practices/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/codebytemirza","download_url":"https://codeload.github.com/codebytemirza/ML_Practices/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246150410,"owners_count":20731419,"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":[],"created_at":"2024-11-09T18:17:27.583Z","updated_at":"2026-01-07T15:10:52.335Z","avatar_url":"https://github.com/codebytemirza.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ML_practices\n\n![](https://drive.google.com/uc?export=view\u0026id=1kbu0-kJ7nvOLLg3mhL-H-VlMOfoKNIGP)\n\nThis repository contains a collection of machine learning practice exercises and examples. The code is written in Python and utilizes the NumPy library for numerical operations.\n\n## Contents\n\n- **Numpy Basics**: This section covers fundamental NumPy operations such as creating arrays, checking dimensions and shape, and performing basic manipulations.\n\n- **Array Creation**: Examples of creating arrays filled with ones, zeros, or empty arrays.\n\n- **Array Functions**: Demonstrates various NumPy functions like `arange`, `linspace`, `reshape`, `ravel`, `flatten`, and `transpose`.\n\n## Getting Started\n\n1. **Clone the repository:** `git clone https://github.com/codebytemirza/ML_practices.git`\n2. **Install NumPy:** `pip install numpy`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodebytemirza%2Fml_practices","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodebytemirza%2Fml_practices","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodebytemirza%2Fml_practices/lists"}