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    btn.onmouseover = function() { this.style.opacity = '1'; };
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    navigator.clipboard.writeText(codeBlock.textContent).then(function() {
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    UK183 (Umar Kazi) · GitHub
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        Deep learning project using Convolutional Neural Networks (CNNs) for Image Inpainting- to restore missing or damaged regions in images. Highlights skills in CNN model development, image restoration…

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      , 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' UK183 (Umar Kazi) · GitHub
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        1. Image-Inpainting-using-CNN Image-Inpainting-using-CNNPublic

          Deep learning project using Convolutional Neural Networks (CNNs) for Image Inpainting- to restore missing or damaged regions in images. Highlights skills in CNN model development, image restoration…

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        , 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' UK183 (Umar Kazi) · GitHub
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          1. Image-Inpainting-using-CNN Image-Inpainting-using-CNNPublic

            Deep learning project using Convolutional Neural Networks (CNNs) for Image Inpainting- to restore missing or damaged regions in images. Highlights skills in CNN model development, image restoration…

            Jupyter Notebook 1

          2. AI-enabled-Safety-App AI-enabled-Safety-AppPublic

          3. House-Price-Prediction House-Price-PredictionPublic

            End-to-end Machine learning project that predicts house prices using regression models and a Flask web app — demonstrates skills in feature engineering, data analytics, model deployment, and full-s…

            Jupyter Notebook

          4. Advertising-Sales-prediction Advertising-Sales-predictionPublic

            Predict sales from advertising spend using regression models — demonstrates skills in data analysis, feature engineering, and predictive modeling.

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            Data analytics project using Excel — explores bike purchase trends, customer demographics, and sales insights through an interactive dashboard.

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          6. Email-Classifier-using-SVM Email-Classifier-using-SVMPublic

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          , 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' UK183 (Umar Kazi) · GitHub
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            1. Image-Inpainting-using-CNN Image-Inpainting-using-CNNPublic

              Deep learning project using Convolutional Neural Networks (CNNs) for Image Inpainting- to restore missing or damaged regions in images. Highlights skills in CNN model development, image restoration…

              Jupyter Notebook 1

            2. AI-enabled-Safety-App AI-enabled-Safety-AppPublic

            3. House-Price-Prediction House-Price-PredictionPublic

              End-to-end Machine learning project that predicts house prices using regression models and a Flask web app — demonstrates skills in feature engineering, data analytics, model deployment, and full-s…

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            4. Advertising-Sales-prediction Advertising-Sales-predictionPublic

              Predict sales from advertising spend using regression models — demonstrates skills in data analysis, feature engineering, and predictive modeling.

              Jupyter Notebook

            5. Bike-Sales-Dashboard Bike-Sales-DashboardPublic

              Data analytics project using Excel — explores bike purchase trends, customer demographics, and sales insights through an interactive dashboard.

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            6. Email-Classifier-using-SVM Email-Classifier-using-SVMPublic

              Built a real-world email spam classifier using Support Vector Machine(SVM), achieving 98% accuracy through robust text preprocessing, TF-IDF feature extraction, and EDA. Deployed the model with Fla…

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            , 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' UK183 (Umar Kazi) · GitHub
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              1. Image-Inpainting-using-CNN Image-Inpainting-using-CNNPublic

                Deep learning project using Convolutional Neural Networks (CNNs) for Image Inpainting- to restore missing or damaged regions in images. Highlights skills in CNN model development, image restoration…

                Jupyter Notebook 1

              2. AI-enabled-Safety-App AI-enabled-Safety-AppPublic

              3. House-Price-Prediction House-Price-PredictionPublic

                End-to-end Machine learning project that predicts house prices using regression models and a Flask web app — demonstrates skills in feature engineering, data analytics, model deployment, and full-s…

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                Predict sales from advertising spend using regression models — demonstrates skills in data analysis, feature engineering, and predictive modeling.

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                Data analytics project using Excel — explores bike purchase trends, customer demographics, and sales insights through an interactive dashboard.

                1

              6. Email-Classifier-using-SVM Email-Classifier-using-SVMPublic

                Built a real-world email spam classifier using Support Vector Machine(SVM), achieving 98% accuracy through robust text preprocessing, TF-IDF feature extraction, and EDA. Deployed the model with Fla…

                CSS

              , 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); UK183 (Umar Kazi) · GitHub
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                1. Image-Inpainting-using-CNN Image-Inpainting-using-CNNPublic

                  Deep learning project using Convolutional Neural Networks (CNNs) for Image Inpainting- to restore missing or damaged regions in images. Highlights skills in CNN model development, image restoration…

                  Jupyter Notebook 1

                2. AI-enabled-Safety-App AI-enabled-Safety-AppPublic

                3. House-Price-Prediction House-Price-PredictionPublic

                  End-to-end Machine learning project that predicts house prices using regression models and a Flask web app — demonstrates skills in feature engineering, data analytics, model deployment, and full-s…

                  Jupyter Notebook

                4. Advertising-Sales-prediction Advertising-Sales-predictionPublic

                  Predict sales from advertising spend using regression models — demonstrates skills in data analysis, feature engineering, and predictive modeling.

                  Jupyter Notebook

                5. Bike-Sales-Dashboard Bike-Sales-DashboardPublic

                  Data analytics project using Excel — explores bike purchase trends, customer demographics, and sales insights through an interactive dashboard.

                  1

                6. Email-Classifier-using-SVM Email-Classifier-using-SVMPublic

                  Built a real-world email spam classifier using Support Vector Machine(SVM), achieving 98% accuracy through robust text preprocessing, TF-IDF feature extraction, and EDA. Deployed the model with Fla…

                  CSS