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"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"19189024\" href=\"/hugobowne/machine_learning_techniques\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n machine_learning_techniques\n </span></a> <tool-tip id=\"tooltip-5d3e7446-29c9-4160-9baf-e3ca624258e6\" for=\"19189024\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">machine_learning_techniques</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 mb-3\">\n In which I implement some applications of machine learning techniques.\n </p>\n\n <p class=\"mb-0 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=\"/hugobowne/machine_learning_techniques/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 31\n </a>\n <a href=\"/hugobowne/machine_learning_techniques/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 41\n </a>\n </p>\n ",
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"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"183693327\" href=\"/hugobowne/bayesian-stats-simulation-tutorial\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n bayesian-stats-simulation-tutorial\n </span></a> <tool-tip id=\"tooltip-a5ffba99-cea4-4200-8f56-011c19440e5b\" for=\"183693327\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">bayesian-stats-simulation-tutorial</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 mb-3\">\n Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!\n </p>\n\n <p class=\"mb-0 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=\"/hugobowne/bayesian-stats-simulation-tutorial/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=\"/hugobowne/bayesian-stats-simulation-tutorial/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 12\n </a>\n </p>\n "
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