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ML-Classification - Puffins-Classifier

Let's classify some cute puffins

Puffins refer to three species of small alcids in the bird genus Fratercula. For eight months of the year, puffins live on the ocean. These pint-sized birds are well adapted for sea life and enjoy devouring fish. When the warmer spring weather arrives, they head to land for breeding – usually around May to August.

Unfortunately for puffins their good looks fade away at some point each year. One of their most distinct features, the brightly coloured parrot-like beak, loses its technicolour in winter. But when breeding season starts on land, their vibrant appearance returns in time for them to attract a mate.

puffins

Our data

The data is in puffins.csv. Our data consists of 344 entries, each with six input variables (x) and one output variable (y). Each entry is in one of three classes of puffins (Tufted, Horned or Atlantic). Our goal is to train the classifier to use the inputs and distinguish the species of puffins.

The input variables are:

  1. Beak Length (mm)
  2. Beak Depth (mm)
  3. Wing Length (mm)
  4. Body Mass (g)
  5. Sex
  6. Year of Data Collection

Model Training

Since our training data has labels attached to them, this is a supervised classification problem. In the jupyter notebook, our workflow will be

  1. Data Cleaning, Wrangling and Visualization
  2. Seperating training and testing set
  3. Training and evaluating three classification models
  4. Model fine tuning based on training performance
  5. Evaluating and comparing testing performance
  6. Identify potential areas of improvement

References

https://www.rabbies.com/en/blog/everything-you-need-know-about-puffins

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Classify Cute Puffins

Topics

classificationkmeans-clusteringlogistic-regressionmlnaive-bayes-classifierstatistics

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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 ML-Classification - Puffins-Classifier
Let's classify some cute puffins

Puffins refer to three species of small alcids in the bird genus Fratercula. For eight months of the year, puffins live on the ocean. These pint-sized birds are well adapted for sea life and enjoy devouring fish. When the warmer spring weather arrives, they head to land for breeding – usually around May to August. 
Unfortunately for puffins their good looks fade away at some point each year. One of their most distinct features, the brightly coloured parrot-like beak, loses its technicolour in winter. But when breeding season starts on land, their vibrant appearance returns in time for them to attract a mate.
puffins
Our data
The data is in puffins.csv. Our data consists of 344 entries, each with six input variables (x) and one output variable (y). Each entry is in one of three classes of puffins (Tufted, Horned or Atlantic). Our goal is to train the classifier to use the inputs and distinguish the species of puffins.
The input variables are:
  1. Beak Length (mm)
  2. Beak Depth (mm)
  3. Wing Length (mm)
  4. Body Mass (g)
  5. Sex
  6. Year of Data Collection
Model Training
Since our training data has labels attached to them, this is a supervised classification problem. In the jupyter notebook, our workflow will be
  1. Data Cleaning, Wrangling and Visualization
  2. Seperating training and testing set
  3. Training and evaluating three classification models
  4. Model fine tuning based on training performance
  5. Evaluating and comparing testing performance
  6. Identify potential areas of improvement
References
https://www.rabbies.com/en/blog/everything-you-need-know-about-puffins
About
Classify Cute Puffins
Topics
classificationkmeans-clusteringlogistic-regressionmlnaive-bayes-classifierstatistics
Resources
Readme
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1 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
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 ML-Classification - Puffins-Classifier
Let's classify some cute puffins

Puffins refer to three species of small alcids in the bird genus Fratercula. For eight months of the year, puffins live on the ocean. These pint-sized birds are well adapted for sea life and enjoy devouring fish. When the warmer spring weather arrives, they head to land for breeding – usually around May to August. 
Unfortunately for puffins their good looks fade away at some point each year. One of their most distinct features, the brightly coloured parrot-like beak, loses its technicolour in winter. But when breeding season starts on land, their vibrant appearance returns in time for them to attract a mate.
puffins
Our data
The data is in puffins.csv. Our data consists of 344 entries, each with six input variables (x) and one output variable (y). Each entry is in one of three classes of puffins (Tufted, Horned or Atlantic). Our goal is to train the classifier to use the inputs and distinguish the species of puffins.
The input variables are:
  1. Beak Length (mm)
  2. Beak Depth (mm)
  3. Wing Length (mm)
  4. Body Mass (g)
  5. Sex
  6. Year of Data Collection
Model Training
Since our training data has labels attached to them, this is a supervised classification problem. In the jupyter notebook, our workflow will be
  1. Data Cleaning, Wrangling and Visualization
  2. Seperating training and testing set
  3. Training and evaluating three classification models
  4. Model fine tuning based on training performance
  5. Evaluating and comparing testing performance
  6. Identify potential areas of improvement
References
https://www.rabbies.com/en/blog/everything-you-need-know-about-puffins
About
Classify Cute Puffins
Topics
classificationkmeans-clusteringlogistic-regressionmlnaive-bayes-classifierstatistics
Resources
Readme
Activity
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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 ML-Classification - Puffins-Classifier
Let's classify some cute puffins

Puffins refer to three species of small alcids in the bird genus Fratercula. For eight months of the year, puffins live on the ocean. These pint-sized birds are well adapted for sea life and enjoy devouring fish. When the warmer spring weather arrives, they head to land for breeding – usually around May to August. 
Unfortunately for puffins their good looks fade away at some point each year. One of their most distinct features, the brightly coloured parrot-like beak, loses its technicolour in winter. But when breeding season starts on land, their vibrant appearance returns in time for them to attract a mate.
puffins
Our data
The data is in puffins.csv. Our data consists of 344 entries, each with six input variables (x) and one output variable (y). Each entry is in one of three classes of puffins (Tufted, Horned or Atlantic). Our goal is to train the classifier to use the inputs and distinguish the species of puffins.
The input variables are:
  1. Beak Length (mm)
  2. Beak Depth (mm)
  3. Wing Length (mm)
  4. Body Mass (g)
  5. Sex
  6. Year of Data Collection
Model Training
Since our training data has labels attached to them, this is a supervised classification problem. In the jupyter notebook, our workflow will be
  1. Data Cleaning, Wrangling and Visualization
  2. Seperating training and testing set
  3. Training and evaluating three classification models
  4. Model fine tuning based on training performance
  5. Evaluating and comparing testing performance
  6. Identify potential areas of improvement
References
https://www.rabbies.com/en/blog/everything-you-need-know-about-puffins
About
Classify Cute Puffins
Topics
classificationkmeans-clusteringlogistic-regressionmlnaive-bayes-classifierstatistics
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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 ML-Classification - Puffins-Classifier
Let's classify some cute puffins

Puffins refer to three species of small alcids in the bird genus Fratercula. For eight months of the year, puffins live on the ocean. These pint-sized birds are well adapted for sea life and enjoy devouring fish. When the warmer spring weather arrives, they head to land for breeding – usually around May to August. 
Unfortunately for puffins their good looks fade away at some point each year. One of their most distinct features, the brightly coloured parrot-like beak, loses its technicolour in winter. But when breeding season starts on land, their vibrant appearance returns in time for them to attract a mate.
puffins
Our data
The data is in puffins.csv. Our data consists of 344 entries, each with six input variables (x) and one output variable (y). Each entry is in one of three classes of puffins (Tufted, Horned or Atlantic). Our goal is to train the classifier to use the inputs and distinguish the species of puffins.
The input variables are:
  1. Beak Length (mm)
  2. Beak Depth (mm)
  3. Wing Length (mm)
  4. Body Mass (g)
  5. Sex
  6. Year of Data Collection
Model Training
Since our training data has labels attached to them, this is a supervised classification problem. In the jupyter notebook, our workflow will be
  1. Data Cleaning, Wrangling and Visualization
  2. Seperating training and testing set
  3. Training and evaluating three classification models
  4. Model fine tuning based on training performance
  5. Evaluating and comparing testing performance
  6. Identify potential areas of improvement
References
https://www.rabbies.com/en/blog/everything-you-need-know-about-puffins
About
Classify Cute Puffins
Topics
classificationkmeans-clusteringlogistic-regressionmlnaive-bayes-classifierstatistics
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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 ML-Classification - Puffins-Classifier
Let's classify some cute puffins

Puffins refer to three species of small alcids in the bird genus Fratercula. For eight months of the year, puffins live on the ocean. These pint-sized birds are well adapted for sea life and enjoy devouring fish. When the warmer spring weather arrives, they head to land for breeding – usually around May to August. 
Unfortunately for puffins their good looks fade away at some point each year. One of their most distinct features, the brightly coloured parrot-like beak, loses its technicolour in winter. But when breeding season starts on land, their vibrant appearance returns in time for them to attract a mate.
puffins
Our data
The data is in puffins.csv. Our data consists of 344 entries, each with six input variables (x) and one output variable (y). Each entry is in one of three classes of puffins (Tufted, Horned or Atlantic). Our goal is to train the classifier to use the inputs and distinguish the species of puffins.
The input variables are:
  1. Beak Length (mm)
  2. Beak Depth (mm)
  3. Wing Length (mm)
  4. Body Mass (g)
  5. Sex
  6. Year of Data Collection
Model Training
Since our training data has labels attached to them, this is a supervised classification problem. In the jupyter notebook, our workflow will be
  1. Data Cleaning, Wrangling and Visualization
  2. Seperating training and testing set
  3. Training and evaluating three classification models
  4. Model fine tuning based on training performance
  5. Evaluating and comparing testing performance
  6. Identify potential areas of improvement
References
https://www.rabbies.com/en/blog/everything-you-need-know-about-puffins
About
Classify Cute Puffins
Topics
classificationkmeans-clusteringlogistic-regressionmlnaive-bayes-classifierstatistics
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
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var __m = "*";
var __re = new RegExp('^' + ".*" + '

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 ML-Classification - Puffins-Classifier
Let's classify some cute puffins

Puffins refer to three species of small alcids in the bird genus Fratercula. For eight months of the year, puffins live on the ocean. These pint-sized birds are well adapted for sea life and enjoy devouring fish. When the warmer spring weather arrives, they head to land for breeding – usually around May to August. 
Unfortunately for puffins their good looks fade away at some point each year. One of their most distinct features, the brightly coloured parrot-like beak, loses its technicolour in winter. But when breeding season starts on land, their vibrant appearance returns in time for them to attract a mate.
puffins
Our data
The data is in puffins.csv. Our data consists of 344 entries, each with six input variables (x) and one output variable (y). Each entry is in one of three classes of puffins (Tufted, Horned or Atlantic). Our goal is to train the classifier to use the inputs and distinguish the species of puffins.
The input variables are:
  1. Beak Length (mm)
  2. Beak Depth (mm)
  3. Wing Length (mm)
  4. Body Mass (g)
  5. Sex
  6. Year of Data Collection
Model Training
Since our training data has labels attached to them, this is a supervised classification problem. In the jupyter notebook, our workflow will be
  1. Data Cleaning, Wrangling and Visualization
  2. Seperating training and testing set
  3. Training and evaluating three classification models
  4. Model fine tuning based on training performance
  5. Evaluating and comparing testing performance
  6. Identify potential areas of improvement
References
https://www.rabbies.com/en/blog/everything-you-need-know-about-puffins
About
Classify Cute Puffins
Topics
classificationkmeans-clusteringlogistic-regressionmlnaive-bayes-classifierstatistics
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Readme
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
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 ML-Classification - Puffins-Classifier
Let's classify some cute puffins

Puffins refer to three species of small alcids in the bird genus Fratercula. For eight months of the year, puffins live on the ocean. These pint-sized birds are well adapted for sea life and enjoy devouring fish. When the warmer spring weather arrives, they head to land for breeding – usually around May to August. 
Unfortunately for puffins their good looks fade away at some point each year. One of their most distinct features, the brightly coloured parrot-like beak, loses its technicolour in winter. But when breeding season starts on land, their vibrant appearance returns in time for them to attract a mate.
puffins
Our data
The data is in puffins.csv. Our data consists of 344 entries, each with six input variables (x) and one output variable (y). Each entry is in one of three classes of puffins (Tufted, Horned or Atlantic). Our goal is to train the classifier to use the inputs and distinguish the species of puffins.
The input variables are:
  1. Beak Length (mm)
  2. Beak Depth (mm)
  3. Wing Length (mm)
  4. Body Mass (g)
  5. Sex
  6. Year of Data Collection
Model Training
Since our training data has labels attached to them, this is a supervised classification problem. In the jupyter notebook, our workflow will be
  1. Data Cleaning, Wrangling and Visualization
  2. Seperating training and testing set
  3. Training and evaluating three classification models
  4. Model fine tuning based on training performance
  5. Evaluating and comparing testing performance
  6. Identify potential areas of improvement
References
https://www.rabbies.com/en/blog/everything-you-need-know-about-puffins
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Classify Cute Puffins
Topics
classificationkmeans-clusteringlogistic-regressionmlnaive-bayes-classifierstatistics
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