nitinkaushik01

{
"type": "http://schema.org/Person",
"name": "",
"description": "",
"followers": "",
"url": "",
"location": "",
"languages": [
"Jupyter Notebook",
"Jupyter Notebook",
"Jupyter Notebook",
"Jupyter Notebook",
"Jupyter Notebook",
"Python"
],
"users": [
{
"name": "@nitinkaushik01",
"avatar": "https://avatars.githubusercontent.com/u/7597684?s=64&v=4"
},
{
"name": "@nitinkaushik01",
"avatar": "https://avatars.githubusercontent.com/u/7597684?s=64&v=4"
},
{
"name": "View nitinkaushik01's full-sized avatar",
"avatar": "https://avatars.githubusercontent.com/u/7597684?v=4"
}
],
"topics": []
}
{
"avatar": "https://avatars.githubusercontent.com/u/7597684?v=4",
"name": "",
"username": "nitinkaushik01",
"description": "",
"location": "",
"vcard": null,
"vcardDetails": [],
"orgs": [],
"sponsors": [],
"pinned": [
{
"name": "Deep_and_Machine_Learning_Projects",
"description": "This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement…",
"language": ""
},
{
"name": "Data_Science_Bootcamp",
"description": "Welcome to Data Science Bootcamp Series. This repository houses the source code and other supporting artifacts related to this bootcamp series.",
"language": ""
},
{
"name": "Machine_Learning_Data_Preprocessing_Python",
"description": "It's a Github Repo to get an understanding on various pre-processing steps required in Machine Learning before we build Machine Learning Models. The code is written in Python.",
"language": ""
},
{
"name": "Deploy_Machine_Learning_Model_on_Flask_App",
"description": "It's a Git Repo containing source code, supported docker files, multiple linear regression pickle file and other related contents of Flask App and Machine Learning Model.",
"language": ""
},
{
"name": "DataScience_Tips_Tricks_and_Career_Advice",
"description": "This repository contains content related to Data Science related Tips, Tricks and Career Advice",
"language": ""
},
{
"name": "Plotly_Dash_Web_App_DataScience",
"description": "It's a repository which contain source code for building python based plotly dash web apps. One can follow the tutorial to build beautiful Analytics & Data Science related interactive and dynamic d…",
"language": ""
}
],
"pinnedHtml": [
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"193126777\" href=\"/nitinkaushik01/Deep_and_Machine_Learning_Projects\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n Deep_and_Machine_Learning_Projects\n </span></a> <tool-tip id=\"tooltip-3af4e258-d59e-4244-bcb6-d70bb2888fe5\" for=\"193126777\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">Deep_and_Machine_Learning_Projects</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement…\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #DA5B0B\"></span>\n <span itemprop=\"programmingLanguage\">Jupyter Notebook</span>\n</span>\n\n <a href=\"/nitinkaushik01/Deep_and_Machine_Learning_Projects/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 640\n </a>\n <a href=\"/nitinkaushik01/Deep_and_Machine_Learning_Projects/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 371\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"182108324\" href=\"/nitinkaushik01/Data_Science_Bootcamp\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n Data_Science_Bootcamp\n </span></a> <tool-tip id=\"tooltip-04650a2d-27c4-4b16-9289-c9ca92d81428\" for=\"182108324\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">Data_Science_Bootcamp</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n Welcome to Data Science Bootcamp Series. This repository houses the source code and other supporting artifacts related to this bootcamp series.\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #DA5B0B\"></span>\n <span itemprop=\"programmingLanguage\">Jupyter Notebook</span>\n</span>\n\n <a href=\"/nitinkaushik01/Data_Science_Bootcamp/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 56\n </a>\n <a href=\"/nitinkaushik01/Data_Science_Bootcamp/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 86\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"177835710\" href=\"/nitinkaushik01/Machine_Learning_Data_Preprocessing_Python\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n Machine_Learning_Data_Preprocessing_Python\n </span></a> <tool-tip id=\"tooltip-48eed83b-09b4-442b-93c8-c9cb627c0f40\" for=\"177835710\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">Machine_Learning_Data_Preprocessing_Python</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n It's a Github Repo to get an understanding on various pre-processing steps required in Machine Learning before we build Machine Learning Models. The code is written in Python.\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #DA5B0B\"></span>\n <span itemprop=\"programmingLanguage\">Jupyter Notebook</span>\n</span>\n\n <a href=\"/nitinkaushik01/Machine_Learning_Data_Preprocessing_Python/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 29\n </a>\n <a href=\"/nitinkaushik01/Machine_Learning_Data_Preprocessing_Python/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 25\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"177841773\" href=\"/nitinkaushik01/Deploy_Machine_Learning_Model_on_Flask_App\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n Deploy_Machine_Learning_Model_on_Flask_App\n </span></a> <tool-tip id=\"tooltip-76cc93a9-b7d7-4aad-aa1d-f021fecf2818\" for=\"177841773\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">Deploy_Machine_Learning_Model_on_Flask_App</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n It's a Git Repo containing source code, supported docker files, multiple linear regression pickle file and other related contents of Flask App and Machine Learning Model.\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #DA5B0B\"></span>\n <span itemprop=\"programmingLanguage\">Jupyter Notebook</span>\n</span>\n\n <a href=\"/nitinkaushik01/Deploy_Machine_Learning_Model_on_Flask_App/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 27\n </a>\n <a href=\"/nitinkaushik01/Deploy_Machine_Learning_Model_on_Flask_App/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 44\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"206463363\" href=\"/nitinkaushik01/DataScience_Tips_Tricks_and_Career_Advice\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n DataScience_Tips_Tricks_and_Career_Advice\n </span></a> <tool-tip id=\"tooltip-0e0b22cd-a7ab-40d5-9a64-7903c6a84acf\" for=\"206463363\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">DataScience_Tips_Tricks_and_Career_Advice</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n This repository contains content related to Data Science related Tips, Tricks and Career Advice\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #DA5B0B\"></span>\n <span itemprop=\"programmingLanguage\">Jupyter Notebook</span>\n</span>\n\n <a href=\"/nitinkaushik01/DataScience_Tips_Tricks_and_Career_Advice/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 20\n </a>\n <a href=\"/nitinkaushik01/DataScience_Tips_Tricks_and_Career_Advice/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 36\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"180888234\" href=\"/nitinkaushik01/Plotly_Dash_Web_App_DataScience\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n Plotly_Dash_Web_App_DataScience\n </span></a> <tool-tip id=\"tooltip-8ca184e5-861c-4fdb-a2c5-32589b1e7f32\" for=\"180888234\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">Plotly_Dash_Web_App_DataScience</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n It's a repository which contain source code for building python based plotly dash web apps. One can follow the tutorial to build beautiful Analytics &amp; Data Science related interactive and dynamic d…\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/nitinkaushik01/Plotly_Dash_Web_App_DataScience/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 16\n </a>\n <a href=\"/nitinkaushik01/Plotly_Dash_Web_App_DataScience/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 8\n </a>\n </p>\n "
]
}
{
"accept-ranges": "bytes",
"cache-control": "max-age=0, private, must-revalidate",
"content-encoding": "gzip",
"content-security-policy": "default-src 'none'; base-uri 'self'; child-src github.githubassets.com github.com/assets-cdn/worker/ github.com/assets/ gist.github.com/assets-cdn/worker/; connect-src 'self' uploads.github.com www.githubstatus.com collector.github.com raw.githubusercontent.com api.github.com github-cloud.s3.amazonaws.com github-production-repository-file-5c1aeb.s3.amazonaws.com github-production-upload-manifest-file-7fdce7.s3.amazonaws.com github-production-user-asset-6210df.s3.amazonaws.com *.rel.tunnels.api.visualstudio.com wss://*.rel.tunnels.api.visualstudio.com github.githubassets.com objects-origin.githubusercontent.com copilot-proxy.githubusercontent.com proxy.individual.githubcopilot.com proxy.business.githubcopilot.com proxy.enterprise.githubcopilot.com *.actions.githubusercontent.com wss://*.actions.githubusercontent.com productionresultssa0.blob.core.windows.net productionresultssa1.blob.core.windows.net productionresultssa2.blob.core.windows.net productionresultssa3.blob.core.windows.net productionresultssa4.blob.core.windows.net productionresultssa5.blob.core.windows.net productionresultssa6.blob.core.windows.net productionresultssa7.blob.core.windows.net productionresultssa8.blob.core.windows.net productionresultssa9.blob.core.windows.net productionresultssa10.blob.core.windows.net productionresultssa11.blob.core.windows.net productionresultssa12.blob.core.windows.net productionresultssa13.blob.core.windows.net productionresultssa14.blob.core.windows.net productionresultssa15.blob.core.windows.net productionresultssa16.blob.core.windows.net productionresultssa17.blob.core.windows.net productionresultssa18.blob.core.windows.net productionresultssa19.blob.core.windows.net github-production-repository-image-32fea6.s3.amazonaws.com github-production-release-asset-2e65be.s3.amazonaws.com insights.github.com wss://alive.github.com wss://alive-staging.github.com api.githubcopilot.com api.individual.githubcopilot.com api.business.githubcopilot.com api.enterprise.githubcopilot.com; font-src github.githubassets.com; form-action 'self' github.com gist.github.com copilot-workspace.githubnext.com objects-origin.githubusercontent.com; frame-ancestors 'none'; frame-src viewscreen.githubusercontent.com notebooks.githubusercontent.com; img-src 'self' data: blob: github.githubassets.com media.githubusercontent.com camo.githubusercontent.com identicons.github.com avatars.githubusercontent.com private-avatars.githubusercontent.com github-cloud.s3.amazonaws.com objects.githubusercontent.com release-assets.githubusercontent.com secured-user-images.githubusercontent.com user-images.githubusercontent.com private-user-images.githubusercontent.com opengraph.githubassets.com marketplace-screenshots.githubusercontent.com copilotprodattachments.blob.core.windows.net/github-production-copilot-attachments/ github-production-user-asset-6210df.s3.amazonaws.com customer-stories-feed.github.com spotlights-feed.github.com objects-origin.githubusercontent.com *.githubusercontent.com; manifest-src 'self'; media-src github.com user-images.githubusercontent.com secured-user-images.githubusercontent.com private-user-images.githubusercontent.com github-production-user-asset-6210df.s3.amazonaws.com gist.github.com github.githubassets.com; script-src github.githubassets.com; style-src 'unsafe-inline' github.githubassets.com; upgrade-insecure-requests; worker-src github.githubassets.com github.com/assets-cdn/worker/ github.com/assets/ gist.github.com/assets-cdn/worker/",
"content-type": "text/html; charset=utf-8",
"date": "Fri, 27 Feb 2026 03:47:57 GMT",
"etag": "ed30c3e04ec0c5e0a37af44bb8a87384",
"referrer-policy": "origin-when-cross-origin, strict-origin-when-cross-origin",
"server": "github.com",
"set-cookie": "logged_in=no; Path=/; Domain=github.com; Expires=Sat, 27 Feb 2027 03:47:57 GMT; HttpOnly; Secure; SameSite=Lax",
"strict-transport-security": "max-age=31536000; includeSubdomains; preload",
"transfer-encoding": "chunked",
"vary": "X-PJAX, X-PJAX-Container, Turbo-Visit, Turbo-Frame, X-Requested-With, Sec-Fetch-Site,Accept-Encoding, Accept, X-Requested-With",
"x-content-type-options": "nosniff",
"x-frame-options": "deny",
"x-github-request-id": "BC90:E6069:406D0D:557E14:69A113ED",
"x-xss-protection": "0"
}