{"id":23073726,"url":"https://github.com/akashdip2001/ml-machine-learning","last_synced_at":"2025-10-18T18:24:57.855Z","repository":{"id":247138763,"uuid":"825109371","full_name":"akashdip2001/ML-Machine-Learning","owner":"akashdip2001","description":null,"archived":false,"fork":false,"pushed_at":"2025-06-24T19:19:32.000Z","size":22674,"stargazers_count":7,"open_issues_count":2,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-24T19:56:23.459Z","etag":null,"topics":["machine-learning","ml-engineering","numpy","numpy-tutorial","pandas-python","pandas-tutorial","python","python-tutorial"],"latest_commit_sha":null,"homepage":"https://akashdip2001.github.io/ML-Machine-Learning/","language":"HTML","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/akashdip2001.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":"2024-07-06T19:56:59.000Z","updated_at":"2025-06-24T19:19:35.000Z","dependencies_parsed_at":"2024-11-05T22:26:12.285Z","dependency_job_id":"2d5d95d9-d959-44b0-8b85-3bbf858251ab","html_url":"https://github.com/akashdip2001/ML-Machine-Learning","commit_stats":null,"previous_names":["akashdip2001/ml-machine-learning"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/akashdip2001/ML-Machine-Learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akashdip2001%2FML-Machine-Learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akashdip2001%2FML-Machine-Learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akashdip2001%2FML-Machine-Learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akashdip2001%2FML-Machine-Learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/akashdip2001","download_url":"https://codeload.github.com/akashdip2001/ML-Machine-Learning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akashdip2001%2FML-Machine-Learning/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263604025,"owners_count":23487224,"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":["machine-learning","ml-engineering","numpy","numpy-tutorial","pandas-python","pandas-tutorial","python","python-tutorial"],"created_at":"2024-12-16T08:18:49.155Z","updated_at":"2025-10-18T18:24:52.838Z","avatar_url":"https://github.com/akashdip2001.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ML-Machine-Learning\n\n\u003cp align=\"right\"\u003e\n  \u003cimg src=\"https://github.com/akashdip2001/ML-Machine-Learning/assets/81384987/dff140e6-3c24-4430-96b6-48877e6c98b9\" alt=\"Pandas Logo\" width=\"500\" /\u003e\n\u003c/p\u003e\n\n| GitHub Repo |🍭 [ML](https://github.com/akashdip2001/ML-Machine-Learning) 🍭|🐥 [Pandas](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/pandas) 🐥|❌ [numPy](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/numPy) ❌|\n|-------------------- |-------------------- |-------------------- |-------------------- |\n\n\n| WebSite =\u003e |🍭 [ML](https://akashdip2001.github.io/ML-Machine-Learning/) 🍭|🐥 [Pandas](https://akashdip2001.github.io/ML-Machine-Learning/pandas.html) 🐥|❌ [numPy](https://akashdip2001.github.io/ML-Machine-Learning/numPy.html) ❌|\n|-------------------- |-------------------- |-------------------- |-------------------- |\n\n---\n\n![ml](ML/img/ml_roadmap01.jpg)\n\n![ml](ML/img/ml_roadmap02.jpg)\n\n# Jupyter Notebook // JupyterLab // .ipynb\n\n### Command Mode Shortcuts (press Esc to activate)\n- **A**: Insert cell above\n- **B**: Insert cell below\n- **D, D** (press D twice): Delete selected cell\n- **Y**: Change cell to code mode\n- **M**: Change cell to markdown mode\n- **Shift + Arrow**: Select multiple cells\n- **Shift + M**: Merge selected cells\n- **Ctrl + Enter**: Run selected cell\n- **Shift + Enter**: Run cell and select below\n- **Alt + Enter**: Run cell and insert new cell below\n\n### Edit Mode Shortcuts (press Enter to activate)\n- **Ctrl + /**: Comment/uncomment selected lines\n- **Tab**: Code completion or indent\n- **Shift + Tab**: Tooltip (for function arguments)\n- **Ctrl + Shift + -**: Split cell at cursor\n- **Ctrl + Shift + P**: Command palette (access to all commands)\n\n### Navigation Shortcuts (in both modes)\n- **Up Arrow / Down Arrow**: Move up/down one cell\n- **Ctrl + Home**: Go to first cell\n- **Ctrl + End**: Go to last cell\n- **Ctrl + G**: Go to specific cell by number\n- **Shift + L**: Toggle line numbers\n\n### Other Useful Shortcuts\n- **Esc + F**: Find and replace\n- **Esc + O**: Toggle cell output\n- **Esc + H**: Show keyboard shortcuts help dialog\n- **Esc + I, I**: Interrupt kernel\n- **Esc + 0, 0**: Restart kernel\n- **Ctrl + Shift + Enter**:Run All Cells\n\n---\n\n# [Pandas](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/pandas)\n\n### Downlod [Pythin](https://www.python.org/downloads/_)\n\nRun Command Prompt as Administrator:\n\n  - Right-click on the Command Prompt icon in the Start menu.\n  - Select \"Run as administrator\".\n  - Confirm the User Account Control prompt if prompted.\n\n```python\n!pip install pandas\n!pip install jupyter\n# If you want to install matplotlib as well, uncomment the line below\n# !pip install matplotlib\n\n!jupyter notebook --version\n\n```\n\n```\njupyter notebook\n```\n![Screenshot (38)](https://github.com/akashdip2001/ML-Machine-Learning/assets/81384987/bd3b3e3a-5d70-41a2-b412-14f1f109fc8e)\n\n![Screenshot (39)](https://github.com/akashdip2001/ML-Machine-Learning/assets/81384987/d1b0208d-eca9-42d1-a800-8ca1cda97eb4)\n\n```python\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n# Data for plotting\nt = np.arange(0.0, 2.0, 0.01)\ns = 1 + np.sin(2 * np.pi * t)\n\nfig, ax = plt.subplots()\nax.plot(t, s)\n\nax.set(xlabel='time (s)', ylabel='voltage (mV)',\n       title='About as simple as it gets, folks')\nax.grid()\n\nplt.show()\n```\n\n\n    \n![png](pandas/output_0_0.png)\n\n| more about [pamdas](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/pandas) |\n|---\n\n# [numPy](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/numPy)\n\n#### [documentation](https://numpy.org/doc/stable/reference/)\n\n```python\npip install numpy\npython.exe -m pip install --upgrade pip\n\npip install jupyter\n```\n\n\n| python 10h =\u003e |🍭 [SourceCode](https://github.com/akashdip2001/Python-Course-10h) 🍭|🐥 [Notes 10h]() 🐥|❌ [complete Notes](https://www.codewithharry.com/notes/) ❌|\n|-------------------- |-------------------- |-------------------- |-------------------- |\n\n```html\n7296\n\nbody {\n            zoom: 100%; /* Default zoom level */\n        }\n\n\u003cscript\u003e\n        function isPC() {\n            return !/Mobi|Android/i.test(navigator.userAgent);\n        }\n\n        function setZoom() {\n            if (isPC()) {\n                document.body.style.zoom = \"150%\";\n            }\n        }\n\n        window.onload = setZoom;\n    \u003c/script\u003e\n\n\n\n7522\n\n\u003cdiv style=\"text-align: right;\"\u003e\n        \u003cimg src=\"pandas/img/Python-Pandas-logo.png\" alt=\"Pandas Logo\" width=\"300\" /\u003e\n        \u003cdiv style=\"font-size: 10px; margin-top: -10px; margin-bottom: 15px;\"\u003eby Akashdip Mahapatra\u003c/div\u003e\n    \u003c/div\u003e\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakashdip2001%2Fml-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fakashdip2001%2Fml-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakashdip2001%2Fml-machine-learning/lists"}