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consumer-analytics

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AmirhosseinHonardoust / Car-Value-Decomposition-Theory

Star 17

This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.

random-forestpredictive-modelingsensitivity-analysismachine-learning-theoryinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiondata-science-methodstransparent-aipricing-intelligenceautomotive-analyticscar-price-modelingml-explainabilityautomotive-mlexplainable-pricing
  • Updated Aug 27, 2026
  • Python

huzaifakhan04 / quantium-data-analytics-virtual-experience-program

Star 7

This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.

data-scienceexploratory-data-analysisedadata-visualisationdata-analysisdata-wranglingcustomer-segmentationcustomer-analyticssales-analyticsquantium-virtual-experiencefinancial-analyticsretail-analyticsconsumer-analytics
  • Updated Oct 30, 2023
  • Jupyter Notebook

Raksh710 / Shark_Tank_Analysis

Star 1

Predicting whether a company on ABC's popular program "Shark Tank" accepted an offer is our goal. Entrepreneurs present their ideas to a panel of investors on the show Shark Tank, which debuted in 2009. In exchange for stock, the entrepreneur requests that the investors invest money.

pythonkaggleflask-applicationheroku-deploymentknn-classificationbehavioral-analyticsconsumer-analyticsshark-tank-analysis
  • Updated Jan 23, 2023
  • Jupyter Notebook

RohitSheikh / Car-Value-Decomposition-Theory

Star 0

🚗 Decode car values using a transparent machine learning system that enhances price understanding through explainable methods.

random-forestpredictive-modelingsensitivity-analysisinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiontransparent-aipricing-intelligenceautomotive-analyticsml-explainabilityautomotive-mlexplainable-pricing
  • Updated Dec 29, 2025

chloedb / InstaCart-Python

Star 0

Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.

pythonpandas-dataframedata-visualizationdata-analyticsdata-analysisjupyter-notebooksproduct-analyticsnumpy-librarydata-analysis-pythonconsumer-analyticsseaborn-pythonconsumer-behavior
  • Updated Aug 18, 2023
  • Jupyter Notebook

Add this topic to your repo

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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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#


consumer-analytics


Star


Here are
15 public repositories
matching this topic...

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Filter by language

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15
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7
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5
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1
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AmirhosseinHonardoust /
Car-Value-Decomposition-Theory

Star
17
This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.
random-forestpredictive-modelingsensitivity-analysismachine-learning-theoryinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiondata-science-methodstransparent-aipricing-intelligenceautomotive-analyticscar-price-modelingml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Aug 27, 2026
  • Python
huzaifakhan04 /
quantium-data-analytics-virtual-experience-program

Star
7
This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.
data-scienceexploratory-data-analysisedadata-visualisationdata-analysisdata-wranglingcustomer-segmentationcustomer-analyticssales-analyticsquantium-virtual-experiencefinancial-analyticsretail-analyticsconsumer-analytics
  • 
Updated
Oct 30, 2023
  • Jupyter Notebook
Raksh710 /
Shark_Tank_Analysis

Star
1
Predicting whether a company on ABC's popular program "Shark Tank" accepted an offer is our goal. Entrepreneurs present their ideas to a panel of investors on the show Shark Tank, which debuted in 2009. In exchange for stock, the entrepreneur requests that the investors invest money. 
pythonkaggleflask-applicationheroku-deploymentknn-classificationbehavioral-analyticsconsumer-analyticsshark-tank-analysis
  • 
Updated
Jan 23, 2023
  • Jupyter Notebook
RohitSheikh /
Car-Value-Decomposition-Theory

Star
0
🚗 Decode car values using a transparent machine learning system that enhances price understanding through explainable methods.
random-forestpredictive-modelingsensitivity-analysisinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiontransparent-aipricing-intelligenceautomotive-analyticsml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Dec 29, 2025
chloedb /
InstaCart-Python

Star
0
Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.
pythonpandas-dataframedata-visualizationdata-analyticsdata-analysisjupyter-notebooksproduct-analyticsnumpy-librarydata-analysis-pythonconsumer-analyticsseaborn-pythonconsumer-behavior
  • 
Updated
Aug 18, 2023
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
consumer-analytics
topic, visit your repo's landing page and select "manage topics."


Learn more


, '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); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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#


consumer-analytics


Star


Here are
15 public repositories
matching this topic...

Language:All
Filter by language

All
15
Jupyter Notebook
7
Python
5
HTML
1
Sort:Most stars
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Fewest forks

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Least recently updated

AmirhosseinHonardoust /
Car-Value-Decomposition-Theory

Star
17
This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.
random-forestpredictive-modelingsensitivity-analysismachine-learning-theoryinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiondata-science-methodstransparent-aipricing-intelligenceautomotive-analyticscar-price-modelingml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Aug 27, 2026
  • Python
huzaifakhan04 /
quantium-data-analytics-virtual-experience-program

Star
7
This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.
data-scienceexploratory-data-analysisedadata-visualisationdata-analysisdata-wranglingcustomer-segmentationcustomer-analyticssales-analyticsquantium-virtual-experiencefinancial-analyticsretail-analyticsconsumer-analytics
  • 
Updated
Oct 30, 2023
  • Jupyter Notebook
Raksh710 /
Shark_Tank_Analysis

Star
1
Predicting whether a company on ABC's popular program "Shark Tank" accepted an offer is our goal. Entrepreneurs present their ideas to a panel of investors on the show Shark Tank, which debuted in 2009. In exchange for stock, the entrepreneur requests that the investors invest money. 
pythonkaggleflask-applicationheroku-deploymentknn-classificationbehavioral-analyticsconsumer-analyticsshark-tank-analysis
  • 
Updated
Jan 23, 2023
  • Jupyter Notebook
RohitSheikh /
Car-Value-Decomposition-Theory

Star
0
🚗 Decode car values using a transparent machine learning system that enhances price understanding through explainable methods.
random-forestpredictive-modelingsensitivity-analysisinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiontransparent-aipricing-intelligenceautomotive-analyticsml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Dec 29, 2025
chloedb /
InstaCart-Python

Star
0
Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.
pythonpandas-dataframedata-visualizationdata-analyticsdata-analysisjupyter-notebooksproduct-analyticsnumpy-librarydata-analysis-pythonconsumer-analyticsseaborn-pythonconsumer-behavior
  • 
Updated
Aug 18, 2023
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
consumer-analytics
topic, visit your repo's landing page and select "manage topics."


Learn more


, '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); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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#


consumer-analytics


Star


Here are
15 public repositories
matching this topic...

Language:All
Filter by language

All
15
Jupyter Notebook
7
Python
5
HTML
1
Sort:Most stars
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AmirhosseinHonardoust /
Car-Value-Decomposition-Theory

Star
17
This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.
random-forestpredictive-modelingsensitivity-analysismachine-learning-theoryinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiondata-science-methodstransparent-aipricing-intelligenceautomotive-analyticscar-price-modelingml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Aug 27, 2026
  • Python
huzaifakhan04 /
quantium-data-analytics-virtual-experience-program

Star
7
This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.
data-scienceexploratory-data-analysisedadata-visualisationdata-analysisdata-wranglingcustomer-segmentationcustomer-analyticssales-analyticsquantium-virtual-experiencefinancial-analyticsretail-analyticsconsumer-analytics
  • 
Updated
Oct 30, 2023
  • Jupyter Notebook
Raksh710 /
Shark_Tank_Analysis

Star
1
Predicting whether a company on ABC's popular program "Shark Tank" accepted an offer is our goal. Entrepreneurs present their ideas to a panel of investors on the show Shark Tank, which debuted in 2009. In exchange for stock, the entrepreneur requests that the investors invest money. 
pythonkaggleflask-applicationheroku-deploymentknn-classificationbehavioral-analyticsconsumer-analyticsshark-tank-analysis
  • 
Updated
Jan 23, 2023
  • Jupyter Notebook
RohitSheikh /
Car-Value-Decomposition-Theory

Star
0
🚗 Decode car values using a transparent machine learning system that enhances price understanding through explainable methods.
random-forestpredictive-modelingsensitivity-analysisinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiontransparent-aipricing-intelligenceautomotive-analyticsml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Dec 29, 2025
chloedb /
InstaCart-Python

Star
0
Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.
pythonpandas-dataframedata-visualizationdata-analyticsdata-analysisjupyter-notebooksproduct-analyticsnumpy-librarydata-analysis-pythonconsumer-analyticsseaborn-pythonconsumer-behavior
  • 
Updated
Aug 18, 2023
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
consumer-analytics
topic, visit your repo's landing page and select "manage topics."


Learn more


, '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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#


consumer-analytics


Star


Here are
15 public repositories
matching this topic...

Language:All
Filter by language

All
15
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7
Python
5
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Sort:Most stars
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Fewest forks

Recently updated

Least recently updated

AmirhosseinHonardoust /
Car-Value-Decomposition-Theory

Star
17
This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.
random-forestpredictive-modelingsensitivity-analysismachine-learning-theoryinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiondata-science-methodstransparent-aipricing-intelligenceautomotive-analyticscar-price-modelingml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Aug 27, 2026
  • Python
huzaifakhan04 /
quantium-data-analytics-virtual-experience-program

Star
7
This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.
data-scienceexploratory-data-analysisedadata-visualisationdata-analysisdata-wranglingcustomer-segmentationcustomer-analyticssales-analyticsquantium-virtual-experiencefinancial-analyticsretail-analyticsconsumer-analytics
  • 
Updated
Oct 30, 2023
  • Jupyter Notebook
Raksh710 /
Shark_Tank_Analysis

Star
1
Predicting whether a company on ABC's popular program "Shark Tank" accepted an offer is our goal. Entrepreneurs present their ideas to a panel of investors on the show Shark Tank, which debuted in 2009. In exchange for stock, the entrepreneur requests that the investors invest money. 
pythonkaggleflask-applicationheroku-deploymentknn-classificationbehavioral-analyticsconsumer-analyticsshark-tank-analysis
  • 
Updated
Jan 23, 2023
  • Jupyter Notebook
RohitSheikh /
Car-Value-Decomposition-Theory

Star
0
🚗 Decode car values using a transparent machine learning system that enhances price understanding through explainable methods.
random-forestpredictive-modelingsensitivity-analysisinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiontransparent-aipricing-intelligenceautomotive-analyticsml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Dec 29, 2025
chloedb /
InstaCart-Python

Star
0
Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.
pythonpandas-dataframedata-visualizationdata-analyticsdata-analysisjupyter-notebooksproduct-analyticsnumpy-librarydata-analysis-pythonconsumer-analyticsseaborn-pythonconsumer-behavior
  • 
Updated
Aug 18, 2023
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
consumer-analytics
topic, visit your repo's landing page and select "manage topics."


Learn more


, '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('^' + ".*" + '

Skip to content

#


consumer-analytics


Star


Here are
15 public repositories
matching this topic...

Language:All
Filter by language

All
15
Jupyter Notebook
7
Python
5
HTML
1
Sort:Most stars
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Fewest forks

Recently updated

Least recently updated

AmirhosseinHonardoust /
Car-Value-Decomposition-Theory

Star
17
This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.
random-forestpredictive-modelingsensitivity-analysismachine-learning-theoryinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiondata-science-methodstransparent-aipricing-intelligenceautomotive-analyticscar-price-modelingml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Aug 27, 2026
  • Python
huzaifakhan04 /
quantium-data-analytics-virtual-experience-program

Star
7
This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.
data-scienceexploratory-data-analysisedadata-visualisationdata-analysisdata-wranglingcustomer-segmentationcustomer-analyticssales-analyticsquantium-virtual-experiencefinancial-analyticsretail-analyticsconsumer-analytics
  • 
Updated
Oct 30, 2023
  • Jupyter Notebook
Raksh710 /
Shark_Tank_Analysis

Star
1
Predicting whether a company on ABC's popular program "Shark Tank" accepted an offer is our goal. Entrepreneurs present their ideas to a panel of investors on the show Shark Tank, which debuted in 2009. In exchange for stock, the entrepreneur requests that the investors invest money. 
pythonkaggleflask-applicationheroku-deploymentknn-classificationbehavioral-analyticsconsumer-analyticsshark-tank-analysis
  • 
Updated
Jan 23, 2023
  • Jupyter Notebook
RohitSheikh /
Car-Value-Decomposition-Theory

Star
0
🚗 Decode car values using a transparent machine learning system that enhances price understanding through explainable methods.
random-forestpredictive-modelingsensitivity-analysisinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiontransparent-aipricing-intelligenceautomotive-analyticsml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Dec 29, 2025
chloedb /
InstaCart-Python

Star
0
Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.
pythonpandas-dataframedata-visualizationdata-analyticsdata-analysisjupyter-notebooksproduct-analyticsnumpy-librarydata-analysis-pythonconsumer-analyticsseaborn-pythonconsumer-behavior
  • 
Updated
Aug 18, 2023
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
consumer-analytics
topic, visit your repo's landing page and select "manage topics."


Learn more


, '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); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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consumer-analytics


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AmirhosseinHonardoust /
Car-Value-Decomposition-Theory

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This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.
random-forestpredictive-modelingsensitivity-analysismachine-learning-theoryinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiondata-science-methodstransparent-aipricing-intelligenceautomotive-analyticscar-price-modelingml-explainabilityautomotive-mlexplainable-pricing
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Updated
Aug 27, 2026
  • Python
huzaifakhan04 /
quantium-data-analytics-virtual-experience-program

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This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.
data-scienceexploratory-data-analysisedadata-visualisationdata-analysisdata-wranglingcustomer-segmentationcustomer-analyticssales-analyticsquantium-virtual-experiencefinancial-analyticsretail-analyticsconsumer-analytics
  • 
Updated
Oct 30, 2023
  • Jupyter Notebook
Raksh710 /
Shark_Tank_Analysis

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Predicting whether a company on ABC's popular program "Shark Tank" accepted an offer is our goal. Entrepreneurs present their ideas to a panel of investors on the show Shark Tank, which debuted in 2009. In exchange for stock, the entrepreneur requests that the investors invest money. 
pythonkaggleflask-applicationheroku-deploymentknn-classificationbehavioral-analyticsconsumer-analyticsshark-tank-analysis
  • 
Updated
Jan 23, 2023
  • Jupyter Notebook
RohitSheikh /
Car-Value-Decomposition-Theory

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🚗 Decode car values using a transparent machine learning system that enhances price understanding through explainable methods.
random-forestpredictive-modelingsensitivity-analysisinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiontransparent-aipricing-intelligenceautomotive-analyticsml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Dec 29, 2025
chloedb /
InstaCart-Python

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Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.
pythonpandas-dataframedata-visualizationdata-analyticsdata-analysisjupyter-notebooksproduct-analyticsnumpy-librarydata-analysis-pythonconsumer-analyticsseaborn-pythonconsumer-behavior
  • 
Updated
Aug 18, 2023
  • Jupyter Notebook

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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); }
})();
})();

Skip to content

#


consumer-analytics


Star


Here are
15 public repositories
matching this topic...

Language:All
Filter by language

All
15
Jupyter Notebook
7
Python
5
HTML
1
Sort:Most stars
Sort options

Most stars

Fewest stars

Most forks

Fewest forks

Recently updated

Least recently updated

AmirhosseinHonardoust /
Car-Value-Decomposition-Theory

Star
17
This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.
random-forestpredictive-modelingsensitivity-analysismachine-learning-theoryinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiondata-science-methodstransparent-aipricing-intelligenceautomotive-analyticscar-price-modelingml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Aug 27, 2026
  • Python
huzaifakhan04 /
quantium-data-analytics-virtual-experience-program

Star
7
This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.
data-scienceexploratory-data-analysisedadata-visualisationdata-analysisdata-wranglingcustomer-segmentationcustomer-analyticssales-analyticsquantium-virtual-experiencefinancial-analyticsretail-analyticsconsumer-analytics
  • 
Updated
Oct 30, 2023
  • Jupyter Notebook
Raksh710 /
Shark_Tank_Analysis

Star
1
Predicting whether a company on ABC's popular program "Shark Tank" accepted an offer is our goal. Entrepreneurs present their ideas to a panel of investors on the show Shark Tank, which debuted in 2009. In exchange for stock, the entrepreneur requests that the investors invest money. 
pythonkaggleflask-applicationheroku-deploymentknn-classificationbehavioral-analyticsconsumer-analyticsshark-tank-analysis
  • 
Updated
Jan 23, 2023
  • Jupyter Notebook
RohitSheikh /
Car-Value-Decomposition-Theory

Star
0
🚗 Decode car values using a transparent machine learning system that enhances price understanding through explainable methods.
random-forestpredictive-modelingsensitivity-analysisinterpretable-mlexplainable-aimodel-interpretabilityeconomic-modelingfeature-attributionapplied-mlconsumer-analyticsvalue-decompositiontransparent-aipricing-intelligenceautomotive-analyticsml-explainabilityautomotive-mlexplainable-pricing
  • 
Updated
Dec 29, 2025
chloedb /
InstaCart-Python

Star
0
Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.
pythonpandas-dataframedata-visualizationdata-analyticsdata-analysisjupyter-notebooksproduct-analyticsnumpy-librarydata-analysis-pythonconsumer-analyticsseaborn-pythonconsumer-behavior
  • 
Updated
Aug 18, 2023
  • Jupyter Notebook

Add this topic to your repo


To associate your repository with the
consumer-analytics
topic, visit your repo's landing page and select "manage topics."


Learn more