jidhu-mohan
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DigiDxDoc
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"name": "Manufacturing_Line-i4.0",
"description": "Shop floor always have challenges. When the part fails at the end of line testing, shop floor manager instinctively retrace your steps to identify at what point you went wrong. Here, the ML based a…",
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{
"name": "Identify-Facial-Expression",
"description": "A step closer to intelligent infotainment - Machines that understand your mood!!..",
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{
"name": "Predict_RNA-RNA_Interaction",
"description": "In this project I have used deep learning methods to predict RNA-RNA interaction (RRI) from the sequencing-based training data.",
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"name": "Activity-Detection-using-IMU-sensor",
"description": "User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart wearables is used for continuous activity detection, which can be…",
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"name": "Predict_Price_from_Text-NLP-Tensorflow-Case_study",
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"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 tmp-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=\"{"event_type":"user_profile.click","payload":{"profile_user_id":30461086,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/jidhu-mohan"}}\" data-hydro-click-hmac=\"6f2f910b478a0821b719c76cb2c0da357e7d8e913028528ba2791e4f448055c5\" id=\"155198592\" href=\"/jidhu-mohan/Manufacturing_Line-i4.0\" data-view-component=\"true\" class=\"Link mr-1 tmp-mr-1 text-bold wb-break-word\"><span class=\"repo\">Manufacturing_Line-i4.0</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-39310494-00e4-4cea-8d84-d5309662499c\" for=\"155198592\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Manufacturing_Line-i4.0</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 Shop floor always have challenges. When the part fails at the end of line testing, shop floor manager instinctively retrace your steps to identify at what point you went wrong. Here, the ML based a…\n </p>\n\n <p class=\"mb-0 mt-2 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=\"/jidhu-mohan/Manufacturing_Line-i4.0/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" 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 9\n </a>\n <a href=\"/jidhu-mohan/Manufacturing_Line-i4.0/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" 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\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 tmp-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=\"{"event_type":"user_profile.click","payload":{"profile_user_id":30461086,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/jidhu-mohan"}}\" data-hydro-click-hmac=\"6f2f910b478a0821b719c76cb2c0da357e7d8e913028528ba2791e4f448055c5\" id=\"175131909\" href=\"/jidhu-mohan/Identify-Facial-Expression\" data-view-component=\"true\" class=\"Link mr-1 tmp-mr-1 text-bold wb-break-word\"><span class=\"repo\">Identify-Facial-Expression</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-3f57f225-1ce9-43f5-ba6c-8844ee052421\" for=\"175131909\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Identify-Facial-Expression</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 A step closer to intelligent infotainment - Machines that understand your mood!!..\n </p>\n\n <p class=\"mb-0 mt-2 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=\"/jidhu-mohan/Identify-Facial-Expression/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" 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 5\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 tmp-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=\"{"event_type":"user_profile.click","payload":{"profile_user_id":30461086,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/jidhu-mohan"}}\" data-hydro-click-hmac=\"6f2f910b478a0821b719c76cb2c0da357e7d8e913028528ba2791e4f448055c5\" id=\"190254032\" href=\"/jidhu-mohan/Predict_RNA-RNA_Interaction\" data-view-component=\"true\" class=\"Link mr-1 tmp-mr-1 text-bold wb-break-word\"><span class=\"repo\">Predict_RNA-RNA_Interaction</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-ec37583a-4c02-4042-96a5-18c32e7a624a\" for=\"190254032\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Predict_RNA-RNA_Interaction</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 In this project I have used deep learning methods to predict RNA-RNA interaction (RRI) from the sequencing-based training data.\n </p>\n\n <p class=\"mb-0 mt-2 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=\"/jidhu-mohan/Predict_RNA-RNA_Interaction/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" 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 6\n </a>\n <a href=\"/jidhu-mohan/Predict_RNA-RNA_Interaction/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" 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 5\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 tmp-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=\"{"event_type":"user_profile.click","payload":{"profile_user_id":30461086,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/jidhu-mohan"}}\" data-hydro-click-hmac=\"6f2f910b478a0821b719c76cb2c0da357e7d8e913028528ba2791e4f448055c5\" id=\"179139152\" href=\"/jidhu-mohan/Activity-Detection-using-IMU-sensor\" data-view-component=\"true\" class=\"Link mr-1 tmp-mr-1 text-bold wb-break-word\"><span class=\"repo\">Activity-Detection-using-IMU-sensor</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-8cf4824c-97e3-4d5e-9f0f-0c43584f8f23\" for=\"179139152\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Activity-Detection-using-IMU-sensor</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 User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart wearables is used for continuous activity detection, which can be…\n </p>\n\n <p class=\"mb-0 mt-2 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=\"/jidhu-mohan/Activity-Detection-using-IMU-sensor/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" 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 49\n </a>\n <a href=\"/jidhu-mohan/Activity-Detection-using-IMU-sensor/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" 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 19\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 tmp-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=\"{"event_type":"user_profile.click","payload":{"profile_user_id":30461086,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/jidhu-mohan"}}\" data-hydro-click-hmac=\"6f2f910b478a0821b719c76cb2c0da357e7d8e913028528ba2791e4f448055c5\" id=\"135101335\" href=\"/jidhu-mohan/NER-Named-Entity-Recognition\" data-view-component=\"true\" class=\"Link mr-1 tmp-mr-1 text-bold wb-break-word\"><span class=\"repo\">NER-Named-Entity-Recognition</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-2d44c6e6-4185-43fc-9b65-a3b3ce4408d8\" for=\"135101335\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">NER-Named-Entity-Recognition</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 Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify named entity men…\n </p>\n\n <p class=\"mb-0 mt-2 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=\"/jidhu-mohan/NER-Named-Entity-Recognition/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" 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 2\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 tmp-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=\"{"event_type":"user_profile.click","payload":{"profile_user_id":30461086,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/jidhu-mohan"}}\" data-hydro-click-hmac=\"6f2f910b478a0821b719c76cb2c0da357e7d8e913028528ba2791e4f448055c5\" id=\"203026871\" href=\"/jidhu-mohan/Predict_Price_from_Text-NLP-Tensorflow-Case_study\" data-view-component=\"true\" class=\"Link mr-1 tmp-mr-1 text-bold wb-break-word\"><span class=\"repo\">Predict_Price_from_Text-NLP-Tensorflow-Case_study</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-5512157d-36dc-41d1-ad9a-1316dc37b058\" for=\"203026871\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Predict_Price_from_Text-NLP-Tensorflow-Case_study</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 Wide Deep Learning - Wide models are models with sparse feature vectors, or vectors with mostly zero values. Multi-layer deep networks, on the other hand, where there may be unexpected relationship…\n </p>\n\n <p class=\"mb-0 mt-2 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=\"/jidhu-mohan/Predict_Price_from_Text-NLP-Tensorflow-Case_study/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"star\" role=\"img\" data-component=\"Octicon\" 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 1\n </a>\n <a href=\"/jidhu-mohan/Predict_Price_from_Text-NLP-Tensorflow-Case_study/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" 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 4\n </a>\n </p>\n "
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