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ML-Classification-Apprentice-Chef

This repo is based on the second project of a business case elaborated for the Machine Learning course at Hult International Business School by the professor Chase Kusterer.

The business case is based on Apprentice Chef, Inc. - a fictitious meal kit delivery company.

Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door

This project involved developing a predictive model and understanding what drives customers to purchase Apprentice Chef's newest product - Halfway There. Halfway There is a cross-selling promotion where subscribers receive a half bottle of wine from a local California vineyard every Wednesday (halfway through the workweek). This promotion is measured as the success of promoting Halfway There (1 = SUCCESS, 0 = FAIL).

I approached this problem by focusing on acquiring Domain Knowledge and focusing on engineering rich features that captured the variance of the outcome variable (successful cross-sell of Halfway There).

Files in the Repo

  • DIEGO_GIMENEZ_A2_Analysis.ipynb: Jupyter Notebook with the analysis. This analysis has a heavy focus in feature engineering. Engineered features were essential for the final model, as well as for the the data-driven insights. I focused on developing a parsimonious explainable model in order to have more interpretability.

  • Diego_Gimenez_A2_Write_Up-2.pdf: Contains the data-driven insights based on the business problem.

  • Course Case - Apprentice Chef, Inc.pdf: Detailed information about the business requirements and context of the problem to solve.

Context About the Dataset

Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home. Developed for the busy professional that has little to no skills in the kitchen, they offer a wide selection of daily-prepared gourmet meals delivered directly to your door. Each meal set takes at most 30 minutes to finish cooking at home and also comes with Apprentice Chef's award- winning disposable cookware (i.e. pots, pans, baking trays, and utensils), allowing for fast and easy cleanup. Ordering meals is very easy given their user-friendly online platform and mobile app.

Business Problem

In an effort to diversify their revenue stream, Apprentice Chef, Inc. has launched Halfway There, a cross-selling promotion where subscribers receive a half bottle of wine from a local California vineyard every Wednesday (halfway through the work week). The executives at Apprentice Chef also believe this endeavor will create a competitive advantage based on its unique product offering of hard to find local wines.

Halfway There has been exclusively offered to all of the customers in the dataset you received, and the executives would like to promote this service to a wider audience. They have tasked you with analyzing their data, developing your top insights, and building a machine learning model to predict which customers will subscribe to this service.

About

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Watchers

1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
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ML-Classification-Apprentice-Chef
This repo is based on the second project of a business case elaborated for the Machine Learning course at Hult International Business School by the professor Chase Kusterer.
The business case is based on Apprentice Chef, Inc. - a fictitious meal kit delivery company.
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door 
This project involved developing a predictive model and understanding what drives customers to purchase Apprentice Chef's newest product - Halfway There. Halfway There is a cross-selling promotion where subscribers receive a half bottle of wine from a local California vineyard every Wednesday (halfway through the workweek). This promotion is measured as the success of promoting Halfway There (1 = SUCCESS, 0 = FAIL).
I approached this problem by focusing on acquiring Domain Knowledge and focusing on engineering rich features that captured the variance of the outcome variable (successful cross-sell of Halfway There).
Files in the Repo
  • DIEGO_GIMENEZ_A2_Analysis.ipynb: Jupyter Notebook with the analysis. This analysis has a heavy focus in feature engineering. Engineered features were essential for the final model, as well as for the the data-driven insights. I focused on developing a parsimonious explainable model in order to have more interpretability.
  • Diego_Gimenez_A2_Write_Up-2.pdf: Contains the data-driven insights based on the business problem.
  • Course Case - Apprentice Chef, Inc.pdf: Detailed information about the business requirements and context of the problem to solve.
Context About the Dataset
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door. Each meal set takes
at most 30 minutes to finish cooking at home and also comes with Apprentice Chef's award-
winning disposable cookware (i.e. pots, pans, baking trays, and utensils), allowing for fast and
easy cleanup. Ordering meals is very easy given their user-friendly online platform and mobile
app.
Business Problem
In an effort to diversify their revenue stream, Apprentice Chef, Inc. has launched Halfway There,
a cross-selling promotion where subscribers receive a half bottle of wine from a local California
vineyard every Wednesday (halfway through the work week). The executives at Apprentice Chef
also believe this endeavor will create a competitive advantage based on its unique product
offering of hard to find local wines.
Halfway There has been exclusively offered to all of the customers in the dataset you received,
and the executives would like to promote this service to a wider audience. They have tasked
you with analyzing their data, developing your top insights, and building a machine learning
model to predict which customers will subscribe to this service.
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
3 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

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

Skip to content
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ML-Classification-Apprentice-Chef
This repo is based on the second project of a business case elaborated for the Machine Learning course at Hult International Business School by the professor Chase Kusterer.
The business case is based on Apprentice Chef, Inc. - a fictitious meal kit delivery company.
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door 
This project involved developing a predictive model and understanding what drives customers to purchase Apprentice Chef's newest product - Halfway There. Halfway There is a cross-selling promotion where subscribers receive a half bottle of wine from a local California vineyard every Wednesday (halfway through the workweek). This promotion is measured as the success of promoting Halfway There (1 = SUCCESS, 0 = FAIL).
I approached this problem by focusing on acquiring Domain Knowledge and focusing on engineering rich features that captured the variance of the outcome variable (successful cross-sell of Halfway There).
Files in the Repo
  • DIEGO_GIMENEZ_A2_Analysis.ipynb: Jupyter Notebook with the analysis. This analysis has a heavy focus in feature engineering. Engineered features were essential for the final model, as well as for the the data-driven insights. I focused on developing a parsimonious explainable model in order to have more interpretability.
  • Diego_Gimenez_A2_Write_Up-2.pdf: Contains the data-driven insights based on the business problem.
  • Course Case - Apprentice Chef, Inc.pdf: Detailed information about the business requirements and context of the problem to solve.
Context About the Dataset
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door. Each meal set takes
at most 30 minutes to finish cooking at home and also comes with Apprentice Chef's award-
winning disposable cookware (i.e. pots, pans, baking trays, and utensils), allowing for fast and
easy cleanup. Ordering meals is very easy given their user-friendly online platform and mobile
app.
Business Problem
In an effort to diversify their revenue stream, Apprentice Chef, Inc. has launched Halfway There,
a cross-selling promotion where subscribers receive a half bottle of wine from a local California
vineyard every Wednesday (halfway through the work week). The executives at Apprentice Chef
also believe this endeavor will create a competitive advantage based on its unique product
offering of hard to find local wines.
Halfway There has been exclusively offered to all of the customers in the dataset you received,
and the executives would like to promote this service to a wider audience. They have tasked
you with analyzing their data, developing your top insights, and building a machine learning
model to predict which customers will subscribe to this service.
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
3 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
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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); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
ML-Classification-Apprentice-Chef
This repo is based on the second project of a business case elaborated for the Machine Learning course at Hult International Business School by the professor Chase Kusterer.
The business case is based on Apprentice Chef, Inc. - a fictitious meal kit delivery company.
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door 
This project involved developing a predictive model and understanding what drives customers to purchase Apprentice Chef's newest product - Halfway There. Halfway There is a cross-selling promotion where subscribers receive a half bottle of wine from a local California vineyard every Wednesday (halfway through the workweek). This promotion is measured as the success of promoting Halfway There (1 = SUCCESS, 0 = FAIL).
I approached this problem by focusing on acquiring Domain Knowledge and focusing on engineering rich features that captured the variance of the outcome variable (successful cross-sell of Halfway There).
Files in the Repo
  • DIEGO_GIMENEZ_A2_Analysis.ipynb: Jupyter Notebook with the analysis. This analysis has a heavy focus in feature engineering. Engineered features were essential for the final model, as well as for the the data-driven insights. I focused on developing a parsimonious explainable model in order to have more interpretability.
  • Diego_Gimenez_A2_Write_Up-2.pdf: Contains the data-driven insights based on the business problem.
  • Course Case - Apprentice Chef, Inc.pdf: Detailed information about the business requirements and context of the problem to solve.
Context About the Dataset
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door. Each meal set takes
at most 30 minutes to finish cooking at home and also comes with Apprentice Chef's award-
winning disposable cookware (i.e. pots, pans, baking trays, and utensils), allowing for fast and
easy cleanup. Ordering meals is very easy given their user-friendly online platform and mobile
app.
Business Problem
In an effort to diversify their revenue stream, Apprentice Chef, Inc. has launched Halfway There,
a cross-selling promotion where subscribers receive a half bottle of wine from a local California
vineyard every Wednesday (halfway through the work week). The executives at Apprentice Chef
also believe this endeavor will create a competitive advantage based on its unique product
offering of hard to find local wines.
Halfway There has been exclusively offered to all of the customers in the dataset you received,
and the executives would like to promote this service to a wider audience. They have tasked
you with analyzing their data, developing your top insights, and building a machine learning
model to predict which customers will subscribe to this service.
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
3 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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" + '

Skip to content
BranchesTags
Repository files navigation
ML-Classification-Apprentice-Chef
This repo is based on the second project of a business case elaborated for the Machine Learning course at Hult International Business School by the professor Chase Kusterer.
The business case is based on Apprentice Chef, Inc. - a fictitious meal kit delivery company.
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door 
This project involved developing a predictive model and understanding what drives customers to purchase Apprentice Chef's newest product - Halfway There. Halfway There is a cross-selling promotion where subscribers receive a half bottle of wine from a local California vineyard every Wednesday (halfway through the workweek). This promotion is measured as the success of promoting Halfway There (1 = SUCCESS, 0 = FAIL).
I approached this problem by focusing on acquiring Domain Knowledge and focusing on engineering rich features that captured the variance of the outcome variable (successful cross-sell of Halfway There).
Files in the Repo
  • DIEGO_GIMENEZ_A2_Analysis.ipynb: Jupyter Notebook with the analysis. This analysis has a heavy focus in feature engineering. Engineered features were essential for the final model, as well as for the the data-driven insights. I focused on developing a parsimonious explainable model in order to have more interpretability.
  • Diego_Gimenez_A2_Write_Up-2.pdf: Contains the data-driven insights based on the business problem.
  • Course Case - Apprentice Chef, Inc.pdf: Detailed information about the business requirements and context of the problem to solve.
Context About the Dataset
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door. Each meal set takes
at most 30 minutes to finish cooking at home and also comes with Apprentice Chef's award-
winning disposable cookware (i.e. pots, pans, baking trays, and utensils), allowing for fast and
easy cleanup. Ordering meals is very easy given their user-friendly online platform and mobile
app.
Business Problem
In an effort to diversify their revenue stream, Apprentice Chef, Inc. has launched Halfway There,
a cross-selling promotion where subscribers receive a half bottle of wine from a local California
vineyard every Wednesday (halfway through the work week). The executives at Apprentice Chef
also believe this endeavor will create a competitive advantage based on its unique product
offering of hard to find local wines.
Halfway There has been exclusively offered to all of the customers in the dataset you received,
and the executives would like to promote this service to a wider audience. They have tasked
you with analyzing their data, developing your top insights, and building a machine learning
model to predict which customers will subscribe to this service.
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
3 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
BranchesTags
Repository files navigation
ML-Classification-Apprentice-Chef
This repo is based on the second project of a business case elaborated for the Machine Learning course at Hult International Business School by the professor Chase Kusterer.
The business case is based on Apprentice Chef, Inc. - a fictitious meal kit delivery company.
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door 
This project involved developing a predictive model and understanding what drives customers to purchase Apprentice Chef's newest product - Halfway There. Halfway There is a cross-selling promotion where subscribers receive a half bottle of wine from a local California vineyard every Wednesday (halfway through the workweek). This promotion is measured as the success of promoting Halfway There (1 = SUCCESS, 0 = FAIL).
I approached this problem by focusing on acquiring Domain Knowledge and focusing on engineering rich features that captured the variance of the outcome variable (successful cross-sell of Halfway There).
Files in the Repo
  • DIEGO_GIMENEZ_A2_Analysis.ipynb: Jupyter Notebook with the analysis. This analysis has a heavy focus in feature engineering. Engineered features were essential for the final model, as well as for the the data-driven insights. I focused on developing a parsimonious explainable model in order to have more interpretability.
  • Diego_Gimenez_A2_Write_Up-2.pdf: Contains the data-driven insights based on the business problem.
  • Course Case - Apprentice Chef, Inc.pdf: Detailed information about the business requirements and context of the problem to solve.
Context About the Dataset
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door. Each meal set takes
at most 30 minutes to finish cooking at home and also comes with Apprentice Chef's award-
winning disposable cookware (i.e. pots, pans, baking trays, and utensils), allowing for fast and
easy cleanup. Ordering meals is very easy given their user-friendly online platform and mobile
app.
Business Problem
In an effort to diversify their revenue stream, Apprentice Chef, Inc. has launched Halfway There,
a cross-selling promotion where subscribers receive a half bottle of wine from a local California
vineyard every Wednesday (halfway through the work week). The executives at Apprentice Chef
also believe this endeavor will create a competitive advantage based on its unique product
offering of hard to find local wines.
Halfway There has been exclusively offered to all of the customers in the dataset you received,
and the executives would like to promote this service to a wider audience. They have tasked
you with analyzing their data, developing your top insights, and building a machine learning
model to predict which customers will subscribe to this service.
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
3 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

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

Skip to content
BranchesTags
Repository files navigation
ML-Classification-Apprentice-Chef
This repo is based on the second project of a business case elaborated for the Machine Learning course at Hult International Business School by the professor Chase Kusterer.
The business case is based on Apprentice Chef, Inc. - a fictitious meal kit delivery company.
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door 
This project involved developing a predictive model and understanding what drives customers to purchase Apprentice Chef's newest product - Halfway There. Halfway There is a cross-selling promotion where subscribers receive a half bottle of wine from a local California vineyard every Wednesday (halfway through the workweek). This promotion is measured as the success of promoting Halfway There (1 = SUCCESS, 0 = FAIL).
I approached this problem by focusing on acquiring Domain Knowledge and focusing on engineering rich features that captured the variance of the outcome variable (successful cross-sell of Halfway There).
Files in the Repo
  • DIEGO_GIMENEZ_A2_Analysis.ipynb: Jupyter Notebook with the analysis. This analysis has a heavy focus in feature engineering. Engineered features were essential for the final model, as well as for the the data-driven insights. I focused on developing a parsimonious explainable model in order to have more interpretability.
  • Diego_Gimenez_A2_Write_Up-2.pdf: Contains the data-driven insights based on the business problem.
  • Course Case - Apprentice Chef, Inc.pdf: Detailed information about the business requirements and context of the problem to solve.
Context About the Dataset
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door. Each meal set takes
at most 30 minutes to finish cooking at home and also comes with Apprentice Chef's award-
winning disposable cookware (i.e. pots, pans, baking trays, and utensils), allowing for fast and
easy cleanup. Ordering meals is very easy given their user-friendly online platform and mobile
app.
Business Problem
In an effort to diversify their revenue stream, Apprentice Chef, Inc. has launched Halfway There,
a cross-selling promotion where subscribers receive a half bottle of wine from a local California
vineyard every Wednesday (halfway through the work week). The executives at Apprentice Chef
also believe this endeavor will create a competitive advantage based on its unique product
offering of hard to find local wines.
Halfway There has been exclusively offered to all of the customers in the dataset you received,
and the executives would like to promote this service to a wider audience. They have tasked
you with analyzing their data, developing your top insights, and building a machine learning
model to predict which customers will subscribe to this service.
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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-Apprentice-Chef
This repo is based on the second project of a business case elaborated for the Machine Learning course at Hult International Business School by the professor Chase Kusterer.
The business case is based on Apprentice Chef, Inc. - a fictitious meal kit delivery company.
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door 
This project involved developing a predictive model and understanding what drives customers to purchase Apprentice Chef's newest product - Halfway There. Halfway There is a cross-selling promotion where subscribers receive a half bottle of wine from a local California vineyard every Wednesday (halfway through the workweek). This promotion is measured as the success of promoting Halfway There (1 = SUCCESS, 0 = FAIL).
I approached this problem by focusing on acquiring Domain Knowledge and focusing on engineering rich features that captured the variance of the outcome variable (successful cross-sell of Halfway There).
Files in the Repo
  • DIEGO_GIMENEZ_A2_Analysis.ipynb: Jupyter Notebook with the analysis. This analysis has a heavy focus in feature engineering. Engineered features were essential for the final model, as well as for the the data-driven insights. I focused on developing a parsimonious explainable model in order to have more interpretability.
  • Diego_Gimenez_A2_Write_Up-2.pdf: Contains the data-driven insights based on the business problem.
  • Course Case - Apprentice Chef, Inc.pdf: Detailed information about the business requirements and context of the problem to solve.
Context About the Dataset
Apprentice Chef, Inc. is an innovative company with a unique spin on cooking at home.
Developed for the busy professional that has little to no skills in the kitchen, they offer a wide
selection of daily-prepared gourmet meals delivered directly to your door. Each meal set takes
at most 30 minutes to finish cooking at home and also comes with Apprentice Chef's award-
winning disposable cookware (i.e. pots, pans, baking trays, and utensils), allowing for fast and
easy cleanup. Ordering meals is very easy given their user-friendly online platform and mobile
app.
Business Problem
In an effort to diversify their revenue stream, Apprentice Chef, Inc. has launched Halfway There,
a cross-selling promotion where subscribers receive a half bottle of wine from a local California
vineyard every Wednesday (halfway through the work week). The executives at Apprentice Chef
also believe this endeavor will create a competitive advantage based on its unique product
offering of hard to find local wines.
Halfway There has been exclusively offered to all of the customers in the dataset you received,
and the executives would like to promote this service to a wider audience. They have tasked
you with analyzing their data, developing your top insights, and building a machine learning
model to predict which customers will subscribe to this service.
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
3 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages