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1<link rel="preload" href="https://consent.cookiebot.com/uc.js" as="script"/><meta name="next-size-adjust" content=""/><title>Course Materials - Gollnick Data Solutions | Gollnick Data Solutions</title><meta name="description" content="Download course materials for Applied NLP, PyTorch Ultimate, Image Segmentation, Shiny for Python, and R Ultimate."/><link rel="author" href="https://www.gollnickdata.de"/><meta name="author" content="Bert Gollnick"/><link rel="manifest" href="/manifest.webmanifest"/><meta name="keywords" content="KI Training,Artificial Intelligence,Data Science,Deep Learning,Machine Learning,Hamburg,Bert Gollnick"/><meta name="creator" content="Gollnick Data Solutions GmbH"/><link rel="canonical" href="https://www.gollnickdata.de/materials"/><meta property="og:title" content="Course Materials – Gollnick Data Solutions"/><meta property="og:description" content="Download GitHub repositories and ZIP archives for our Udemy courses."/><meta property="og:url" content="https://www.gollnickdata.de/materials"/><meta name="twitter:card" content="summary"/><meta name="twitter:title" content="Course Materials – Gollnick Data Solutions"/><meta name="twitter:description" content="Download GitHub repositories and ZIP archives for our Udemy courses."/><link rel="icon" href="/favicon.ico?favicon.10nqcjg5l-npv.ico?dpl=dpl_AZQS6FLQK35dWLSEunCdVa1K2xgX" sizes="31x32" type="image/x-icon"/>
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13<svg width="16" height="16" viewBox="0 0 24 24" aria-hidden="true"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z" fill="#c05c37"></path></svg><svg width="16" height="16" viewBox="0 0 24 24" aria-hidden="true"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z" fill="#c05c37"></path></svg><svg width="16" height="16" viewBox="0 0 24 24" aria-hidden="true"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z" fill="#c05c37"></path></svg><svg width="16" height="16" viewBox="0 0 24 24" aria-hidden="true"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z" fill="#c05c37"></path></svg><svg width="16" height="16" viewBox="0 0 24 24" aria-hidden="true"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z" fill="#c05c37"></path></svg><span class="ml-1 text-sm font-medium text-[#2c2c54] dark:text-[#e5e2e3]">5.0</span></div><div class="flex flex-col gap-2 mt-auto"><a href="https://www.udemy.com/course/applied-nlp-with-python/?referralCode=EB80ABF5D3E9224A250D" target="_blank" rel="noopener noreferrer" class="flex items-center justify-center gap-2 rounded-lg bg-[#c05c37] px-4 py-2.5 text-sm font-medium text-white hover:bg-[#a84e2f] transition-colors"><svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg>Auf Udemy ansehen</a><a href="https://github.com/DataScienceHamburg/AppliedNLPMaterial/archive/refs/heads/master.zip" target="_blank" rel="noopener noreferrer" class="flex items-center justify-center gap-2 rounded-lg border border-[#2c2c54] dark:border-[#e5e2e3] px-4 py-2.5 text-sm font-medium text-[#2c2c54] dark:text-[#e5e2e3] hover:bg-[#2c2c54]/10 dark:hover:bg-[#e5e2e3]/10 transition-colors"><svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"></path><polyline points="7 10 12 15 17 10"></polyline><line x1="12" y1="15" x2="12" y2="3"></line></svg>ZIP herunterladen</a><a href="https://github.com/DataScienceHamburg/AppliedNLPMaterial" target="_blank" rel="noopener noreferrer" class="flex items-center justify-center gap-2 rounded-lg border border-[#2c2c54] dark:border-[#e5e2e3] px-4 py-2.5 text-sm font-medium text-[#2c2c54] dark:text-[#e5e2e3] hover:bg-[#2c2c54]/10 dark:hover:bg-[#e5e2e3]/10 transition-colors"><svg width="16" height="16" viewBox="0 0 24 24" fill="currentColor" aria-hidden="true"><path d="M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12"></path></svg>Auf GitHub ansehen</a></div></div></div><div class="flex flex-col rounded-2xl border border-[#ececec] dark:border-[#2a2e34] bg-white dark:bg-[#1e2328] shadow-sm hover:shadow-md transition-shadow overflow-hidden"><div class="bg-[#2c2c54] px-6 py-4"><h2 class="text-lg font-semibold text-white leading-snug">PyTorch Ultimate</h2><p class="mt-1 text-sm text-[#e5e2e3]/80 leading-relaxed">PyTorch Ultimate: From Basics to Cutting-Edge</p></div><div class="flex flex-col gap-4 p-6 flex-1"><div class="flex items-center gap-1" aria-label="Rating: 4.7 out of 5">
13<svg width="16" height="16" viewBox="0 0 24 24" aria-hidden="true"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z" fill="#c05c37"></path></svg><svg width="16" height="16" viewBox="0 0 24 24" aria-hidden="true"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z" fill="#c05c37"></path></svg><svg width="16" height="16" viewBox="0 0 24 24" aria-hidden="true"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z" fill="#c05c37"></path></svg><svg width="16" height="16" viewBox="0 0 24 24" aria-hidden="true"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z" fill="#c05c37"></path></svg><svg width="16" height="16" viewBox="0 0 24 24" aria-hidden="true"><defs><linearGradient id="half-5"><stop offset="50%" stop-color="#c05c37"></stop><stop offset="50%" stop-color="#d1d5db"></stop></linearGradient></defs><path d="M12 2l3.09 6.26L22 9.27l-5 4.87 1.18 6.88L12 17.77l-6.18 3.25L7 14.14 2 9.27l6.91-1.01L12 2z" fill="url(#half-5)"></path></svg><span class="ml-1 text-sm font-medium text-[#2c2c54] dark:text-[#e5e2e3]">4.7</span></div><div class="flex flex-col gap-2 mt-auto"><a href="https://www.udemy.com/course/pytorch-ultimate/?referralCode=D2E83186117959568688" target="_blank" rel="noopener noreferrer" class="flex items-center justify-center gap-2 rounded-lg bg-[#c05c37] px-4 py-2.5 text-sm font-medium text-white hover:bg-[#a84e2f] transition-colors"><svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg>Auf Udemy ansehen</a><a href="https://github.com/DataScienceHamburg/PyTorchUltimateMaterial/archive/refs/heads/main.zip" target="_blank" rel="noopener noreferrer" class="flex items-center justify-center gap-2 rounded-lg border border-[#2c2c54] dark:border-[#e5e2e3] px-4 py-2.5 text-sm font-medium text-[#2c2c54] dark:text-[#e5e2e3] hover:bg-[#2c2c54]/10 dark:hover:bg-[#e5e2e3]/10 transition-colors"><svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"></path><polyline points="7 10 12 15 17 10"></polyline><line x1="12" y1="15" x2="12" y2="3"></line></svg>ZIP herunterladen</a><a href="https://github.com/DataScienceHamburg/PyTorchUltimateMaterial" target="_blank" rel="noopener noreferrer" class="flex items-center justify-center gap-2 rounded-lg border border-[#2c2c54] dark:border-[#e5e2e3] px-4 py-2.5 text-sm font-medium text-[#2c2c54] dark:text-[#e5e2e3] hover:bg-[#2c2c54]/10 dark:hover:bg-[#e5e2e3]/10 transition-colors"><svg width="16" height="16" viewBox="0 0 24 24" fill="currentColor" aria-hidden="true"><path d="M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12"></path></svg>Auf GitHub ansehen</a></div></div></div><div class="flex flex-col rounded-2xl border border-[#ececec] dark:border-[#2a2e34] bg-white dark:bg-[#1e2328] shadow-sm hover:shadow-md transition-shadow overflow-hidden"><div class="bg-[#2c2c54] px-6 py-4"><h2 class="text-lg font-semibold text-white leading-snug">Master Image Segmentation</h2><p class="mt-1 text-sm text-[#e5e2e3]/80 leading-relaxed">Master the art of image segmentation with PyTorch with hands-on training and real-world projects</p></div><div class="flex flex-col gap-4 p-6 flex-1"><div class="flex items-center gap-1" aria-label="Rating: 5 out of 5">
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