TatevKaren

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LunarTech
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"description": "Machine Learning | Deep Learning | NLP\n\nTechnology is best when it brings people together 👩🏻‍🔬 👩🏻‍💻",
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"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{&quot;event_type&quot;:&quot;user_profile.click&quot;,&quot;payload&quot;:{&quot;profile_user_id&quot;:76843403,&quot;target&quot;:&quot;PINNED_REPO&quot;,&quot;user_id&quot;:null,&quot;originating_url&quot;:&quot;https://github.com/TatevKaren&quot;}}\" data-hydro-click-hmac=\"f3c4f640b8214cb4096f8f593ce3aec04b3f1c0791cf229698248983dc3e84d7\" id=\"726045791\" href=\"/TatevKaren/BabyGPT-Build_GPT_From_Scratch\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">BabyGPT-Build_GPT_From_Scratch</span></a> <tool-tip id=\"tooltip-3c167ae9-faff-4a39-a639-1678aba3006f\" for=\"726045791\" popover=\"manual\" data-direction=\"s\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">BabyGPT-Build_GPT_From_Scratch</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"d-inline-block mr-3\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/TatevKaren/BabyGPT-Build_GPT_From_Scratch/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 100\n </a>\n <a href=\"/TatevKaren/BabyGPT-Build_GPT_From_Scratch/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 31\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{&quot;event_type&quot;:&quot;user_profile.click&quot;,&quot;payload&quot;:{&quot;profile_user_id&quot;:76843403,&quot;target&quot;:&quot;PINNED_REPO&quot;,&quot;user_id&quot;:null,&quot;originating_url&quot;:&quot;https://github.com/TatevKaren&quot;}}\" data-hydro-click-hmac=\"f3c4f640b8214cb4096f8f593ce3aec04b3f1c0791cf229698248983dc3e84d7\" id=\"326000518\" href=\"/TatevKaren/data-science-popular-algorithms\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">data-science-popular-algorithms</span></a> <tool-tip id=\"tooltip-111f9196-035d-471f-86d2-3c7f80298af3\" for=\"326000518\" popover=\"manual\" data-direction=\"s\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">data-science-popular-algorithms</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"d-inline-block mr-3\">\n <span class=\"repo-language-color\" style=\"background-color: #DA5B0B\"></span>\n <span itemprop=\"programmingLanguage\">Jupyter Notebook</span>\n</span>\n\n <a href=\"/TatevKaren/data-science-popular-algorithms/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 126\n </a>\n <a href=\"/TatevKaren/data-science-popular-algorithms/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 38\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{&quot;event_type&quot;:&quot;user_profile.click&quot;,&quot;payload&quot;:{&quot;profile_user_id&quot;:76843403,&quot;target&quot;:&quot;PINNED_REPO&quot;,&quot;user_id&quot;:null,&quot;originating_url&quot;:&quot;https://github.com/TatevKaren&quot;}}\" data-hydro-click-hmac=\"f3c4f640b8214cb4096f8f593ce3aec04b3f1c0791cf229698248983dc3e84d7\" id=\"350662672\" href=\"/TatevKaren/recurrent-neural-network-pricing-model\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">recurrent-neural-network-pricing-model</span></a> <tool-tip id=\"tooltip-b85b9325-5283-426e-9da0-fff2e8e4c3f2\" for=\"350662672\" popover=\"manual\" data-direction=\"s\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">recurrent-neural-network-pricing-model</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper,…\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"d-inline-block mr-3\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/TatevKaren/recurrent-neural-network-pricing-model/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=\"/TatevKaren/recurrent-neural-network-pricing-model/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 34\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{&quot;event_type&quot;:&quot;user_profile.click&quot;,&quot;payload&quot;:{&quot;profile_user_id&quot;:76843403,&quot;target&quot;:&quot;PINNED_REPO&quot;,&quot;user_id&quot;:null,&quot;originating_url&quot;:&quot;https://github.com/TatevKaren&quot;}}\" data-hydro-click-hmac=\"f3c4f640b8214cb4096f8f593ce3aec04b3f1c0791cf229698248983dc3e84d7\" id=\"361539731\" href=\"/TatevKaren/TatevKaren-data-science-portfolio\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">TatevKaren-data-science-portfolio</span></a> <tool-tip id=\"tooltip-c9e0cfe2-66de-422f-995e-2a7599d00f6b\" for=\"361539731\" popover=\"manual\" data-direction=\"s\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">TatevKaren-data-science-portfolio</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Data Science Portfolio of Tatev Karen Aslanyan including Case Studies and Research Projects that I have completed that solve business problems or introduce new products. Case Study papers, codes, a…\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"d-inline-block mr-3\">\n <span class=\"repo-language-color\" style=\"background-color: #DA5B0B\"></span>\n <span itemprop=\"programmingLanguage\">Jupyter Notebook</span>\n</span>\n\n <a href=\"/TatevKaren/TatevKaren-data-science-portfolio/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 64\n </a>\n <a href=\"/TatevKaren/TatevKaren-data-science-portfolio/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 11\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{&quot;event_type&quot;:&quot;user_profile.click&quot;,&quot;payload&quot;:{&quot;profile_user_id&quot;:76843403,&quot;target&quot;:&quot;PINNED_REPO&quot;,&quot;user_id&quot;:null,&quot;originating_url&quot;:&quot;https://github.com/TatevKaren&quot;}}\" data-hydro-click-hmac=\"f3c4f640b8214cb4096f8f593ce3aec04b3f1c0791cf229698248983dc3e84d7\" id=\"326973946\" href=\"/TatevKaren/econometric-algorithms\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\"><span class=\"repo\">econometric-algorithms</span></a> <tool-tip id=\"tooltip-15ea4f1e-ca30-4609-aabb-03834a08de5e\" for=\"326973946\" popover=\"manual\" data-direction=\"s\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">econometric-algorithms</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel…\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"d-inline-block mr-3\">\n <span class=\"repo-language-color\" style=\"background-color: #1a5f91\"></span>\n <span itemprop=\"programmingLanguage\">Stata</span>\n</span>\n\n <a href=\"/TatevKaren/econometric-algorithms/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 36\n </a>\n <a href=\"/TatevKaren/econometric-algorithms/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 13\n </a>\n </p>\n "
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