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My Data Science Playground

Welcome to my Data Science Playground! This repository is where I explore various Data Science projects from the ground up, experiment with different techniques, and showcase my learning journey in the realm of data.

Table of Contents

  1. Introduction
  2. Projects
  3. Getting Started
  4. Contributing
  5. License

Introduction

Data Science is my passion, and this repository serves as a playground where I delve into different aspects of the field. From machine learning to data visualization, I'm constantly pushing the boundaries of what's possible with data.

Projects

Explore a diverse range of Data Science projects that I've worked on in this repository. Each project reflects my interests, curiosity, and dedication to mastering the art of data analysis and interpretation. Here are some highlights:

  • Sentiment Analysis on Movie Reviews
  • Predictive Modeling for Stock Price Forecasting
  • Image Recognition with Deep Learning
  • Exploratory Data Analysis of COVID-19 Trends
  • Customer Segmentation for Marketing Strategies

Feel free to browse through the projects and discover my journey through the world of data!

Getting Started

To explore the projects in this repository and run the code on your local machine, follow these steps:

  1. Clone the Repository: Clone this repository to your local machine using the following command:

    git clone https://github.com/your-username/data-science-playground.git

  2. Navigate to Project: Enter the cloned repository directory:

    cd data-science-playground

  3. Install Dependencies: Install the necessary dependencies by running:

    pip install -r requirements.txt

  4. Explore Projects: Browse through the projects directory to find the project that interests you the most. Each project folder contains a README.md file with instructions on how to run the code and experiment with the data.

Contributing

While this repository primarily serves as my personal playground, I'm open to collaboration and constructive feedback. If you have suggestions, improvements, or new project ideas, feel free to reach out or submit a pull request. Let's learn and grow together in the exciting world of Data Science!

License

This repository is licensed under the MIT License. For more details, please see the LICENSE file.

Thanks for visiting my Data Science Playground! I hope you find inspiration and insights within these projects. Happy exploring! 🚀

Feel free to contact me, If you're interested in collaborating on projects, discussing opportunities

About

No description, website, or topics provided.

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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" + '

Skip to content
BranchesTags
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<<<<<<< HEAD
My Data Science Playground
Welcome to my Data Science Playground! This repository is where I explore various Data Science projects from the ground up, experiment with different techniques, and showcase my learning journey in the realm of data.
Table of Contents
  1. Introduction
  2. Projects
  3. Getting Started
  4. Contributing
  5. License
Introduction
Data Science is my passion, and this repository serves as a playground where I delve into different aspects of the field. From machine learning to data visualization, I'm constantly pushing the boundaries of what's possible with data.
Projects
Explore a diverse range of Data Science projects that I've worked on in this repository. Each project reflects my interests, curiosity, and dedication to mastering the art of data analysis and interpretation. Here are some highlights:
  • Sentiment Analysis on Movie Reviews
  • Predictive Modeling for Stock Price Forecasting
  • Image Recognition with Deep Learning
  • Exploratory Data Analysis of COVID-19 Trends
  • Customer Segmentation for Marketing Strategies
Feel free to browse through the projects and discover my journey through the world of data!
Getting Started
To explore the projects in this repository and run the code on your local machine, follow these steps:
  1. Clone the Repository: Clone this repository to your local machine using the following command:
    git clone https://github.com/your-username/data-science-playground.git

  2. Navigate to Project: Enter the cloned repository directory:
    cd data-science-playground

  3. Install Dependencies: Install the necessary dependencies by running:
    pip install -r requirements.txt

  4. Explore Projects: Browse through the projects directory to find the project that interests you the most. Each project folder contains a README.md file with instructions on how to run the code and experiment with the data.
Contributing
While this repository primarily serves as my personal playground, I'm open to collaboration and constructive feedback. If you have suggestions, improvements, or new project ideas, feel free to reach out or submit a pull request. Let's learn and grow together in the exciting world of Data Science!
License
This repository is licensed under the MIT License. For more details, please see the LICENSE file.
Thanks for visiting my Data Science Playground! I hope you find inspiration and insights within these projects. Happy exploring! 🚀
Feel free to contact me, If you're interested in collaborating on projects, discussing opportunities 
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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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); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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<<<<<<< HEAD
My Data Science Playground
Welcome to my Data Science Playground! This repository is where I explore various Data Science projects from the ground up, experiment with different techniques, and showcase my learning journey in the realm of data.
Table of Contents
  1. Introduction
  2. Projects
  3. Getting Started
  4. Contributing
  5. License
Introduction
Data Science is my passion, and this repository serves as a playground where I delve into different aspects of the field. From machine learning to data visualization, I'm constantly pushing the boundaries of what's possible with data.
Projects
Explore a diverse range of Data Science projects that I've worked on in this repository. Each project reflects my interests, curiosity, and dedication to mastering the art of data analysis and interpretation. Here are some highlights:
  • Sentiment Analysis on Movie Reviews
  • Predictive Modeling for Stock Price Forecasting
  • Image Recognition with Deep Learning
  • Exploratory Data Analysis of COVID-19 Trends
  • Customer Segmentation for Marketing Strategies
Feel free to browse through the projects and discover my journey through the world of data!
Getting Started
To explore the projects in this repository and run the code on your local machine, follow these steps:
  1. Clone the Repository: Clone this repository to your local machine using the following command:
    git clone https://github.com/your-username/data-science-playground.git

  2. Navigate to Project: Enter the cloned repository directory:
    cd data-science-playground

  3. Install Dependencies: Install the necessary dependencies by running:
    pip install -r requirements.txt

  4. Explore Projects: Browse through the projects directory to find the project that interests you the most. Each project folder contains a README.md file with instructions on how to run the code and experiment with the data.
Contributing
While this repository primarily serves as my personal playground, I'm open to collaboration and constructive feedback. If you have suggestions, improvements, or new project ideas, feel free to reach out or submit a pull request. Let's learn and grow together in the exciting world of Data Science!
License
This repository is licensed under the MIT License. For more details, please see the LICENSE file.
Thanks for visiting my Data Science Playground! I hope you find inspiration and insights within these projects. Happy exploring! 🚀
Feel free to contact me, If you're interested in collaborating on projects, discussing opportunities 
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
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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
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<<<<<<< HEAD
My Data Science Playground
Welcome to my Data Science Playground! This repository is where I explore various Data Science projects from the ground up, experiment with different techniques, and showcase my learning journey in the realm of data.
Table of Contents
  1. Introduction
  2. Projects
  3. Getting Started
  4. Contributing
  5. License
Introduction
Data Science is my passion, and this repository serves as a playground where I delve into different aspects of the field. From machine learning to data visualization, I'm constantly pushing the boundaries of what's possible with data.
Projects
Explore a diverse range of Data Science projects that I've worked on in this repository. Each project reflects my interests, curiosity, and dedication to mastering the art of data analysis and interpretation. Here are some highlights:
  • Sentiment Analysis on Movie Reviews
  • Predictive Modeling for Stock Price Forecasting
  • Image Recognition with Deep Learning
  • Exploratory Data Analysis of COVID-19 Trends
  • Customer Segmentation for Marketing Strategies
Feel free to browse through the projects and discover my journey through the world of data!
Getting Started
To explore the projects in this repository and run the code on your local machine, follow these steps:
  1. Clone the Repository: Clone this repository to your local machine using the following command:
    git clone https://github.com/your-username/data-science-playground.git

  2. Navigate to Project: Enter the cloned repository directory:
    cd data-science-playground

  3. Install Dependencies: Install the necessary dependencies by running:
    pip install -r requirements.txt

  4. Explore Projects: Browse through the projects directory to find the project that interests you the most. Each project folder contains a README.md file with instructions on how to run the code and experiment with the data.
Contributing
While this repository primarily serves as my personal playground, I'm open to collaboration and constructive feedback. If you have suggestions, improvements, or new project ideas, feel free to reach out or submit a pull request. Let's learn and grow together in the exciting world of Data Science!
License
This repository is licensed under the MIT License. For more details, please see the LICENSE file.
Thanks for visiting my Data Science Playground! I hope you find inspiration and insights within these projects. Happy exploring! 🚀
Feel free to contact me, If you're interested in collaborating on projects, discussing opportunities 
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
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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" + '

Skip to content
BranchesTags
Repository files navigation
<<<<<<< HEAD
My Data Science Playground
Welcome to my Data Science Playground! This repository is where I explore various Data Science projects from the ground up, experiment with different techniques, and showcase my learning journey in the realm of data.
Table of Contents
  1. Introduction
  2. Projects
  3. Getting Started
  4. Contributing
  5. License
Introduction
Data Science is my passion, and this repository serves as a playground where I delve into different aspects of the field. From machine learning to data visualization, I'm constantly pushing the boundaries of what's possible with data.
Projects
Explore a diverse range of Data Science projects that I've worked on in this repository. Each project reflects my interests, curiosity, and dedication to mastering the art of data analysis and interpretation. Here are some highlights:
  • Sentiment Analysis on Movie Reviews
  • Predictive Modeling for Stock Price Forecasting
  • Image Recognition with Deep Learning
  • Exploratory Data Analysis of COVID-19 Trends
  • Customer Segmentation for Marketing Strategies
Feel free to browse through the projects and discover my journey through the world of data!
Getting Started
To explore the projects in this repository and run the code on your local machine, follow these steps:
  1. Clone the Repository: Clone this repository to your local machine using the following command:
    git clone https://github.com/your-username/data-science-playground.git

  2. Navigate to Project: Enter the cloned repository directory:
    cd data-science-playground

  3. Install Dependencies: Install the necessary dependencies by running:
    pip install -r requirements.txt

  4. Explore Projects: Browse through the projects directory to find the project that interests you the most. Each project folder contains a README.md file with instructions on how to run the code and experiment with the data.
Contributing
While this repository primarily serves as my personal playground, I'm open to collaboration and constructive feedback. If you have suggestions, improvements, or new project ideas, feel free to reach out or submit a pull request. Let's learn and grow together in the exciting world of Data Science!
License
This repository is licensed under the MIT License. For more details, please see the LICENSE file.
Thanks for visiting my Data Science Playground! I hope you find inspiration and insights within these projects. Happy exploring! 🚀
Feel free to contact me, If you're interested in collaborating on projects, discussing opportunities 
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 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
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<<<<<<< HEAD
My Data Science Playground
Welcome to my Data Science Playground! This repository is where I explore various Data Science projects from the ground up, experiment with different techniques, and showcase my learning journey in the realm of data.
Table of Contents
  1. Introduction
  2. Projects
  3. Getting Started
  4. Contributing
  5. License
Introduction
Data Science is my passion, and this repository serves as a playground where I delve into different aspects of the field. From machine learning to data visualization, I'm constantly pushing the boundaries of what's possible with data.
Projects
Explore a diverse range of Data Science projects that I've worked on in this repository. Each project reflects my interests, curiosity, and dedication to mastering the art of data analysis and interpretation. Here are some highlights:
  • Sentiment Analysis on Movie Reviews
  • Predictive Modeling for Stock Price Forecasting
  • Image Recognition with Deep Learning
  • Exploratory Data Analysis of COVID-19 Trends
  • Customer Segmentation for Marketing Strategies
Feel free to browse through the projects and discover my journey through the world of data!
Getting Started
To explore the projects in this repository and run the code on your local machine, follow these steps:
  1. Clone the Repository: Clone this repository to your local machine using the following command:
    git clone https://github.com/your-username/data-science-playground.git

  2. Navigate to Project: Enter the cloned repository directory:
    cd data-science-playground

  3. Install Dependencies: Install the necessary dependencies by running:
    pip install -r requirements.txt

  4. Explore Projects: Browse through the projects directory to find the project that interests you the most. Each project folder contains a README.md file with instructions on how to run the code and experiment with the data.
Contributing
While this repository primarily serves as my personal playground, I'm open to collaboration and constructive feedback. If you have suggestions, improvements, or new project ideas, feel free to reach out or submit a pull request. Let's learn and grow together in the exciting world of Data Science!
License
This repository is licensed under the MIT License. For more details, please see the LICENSE file.
Thanks for visiting my Data Science Playground! I hope you find inspiration and insights within these projects. Happy exploring! 🚀
Feel free to contact me, If you're interested in collaborating on projects, discussing opportunities 
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
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0 forks
Report repository
Releases
Packages
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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); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
<<<<<<< HEAD
My Data Science Playground
Welcome to my Data Science Playground! This repository is where I explore various Data Science projects from the ground up, experiment with different techniques, and showcase my learning journey in the realm of data.
Table of Contents
  1. Introduction
  2. Projects
  3. Getting Started
  4. Contributing
  5. License
Introduction
Data Science is my passion, and this repository serves as a playground where I delve into different aspects of the field. From machine learning to data visualization, I'm constantly pushing the boundaries of what's possible with data.
Projects
Explore a diverse range of Data Science projects that I've worked on in this repository. Each project reflects my interests, curiosity, and dedication to mastering the art of data analysis and interpretation. Here are some highlights:
  • Sentiment Analysis on Movie Reviews
  • Predictive Modeling for Stock Price Forecasting
  • Image Recognition with Deep Learning
  • Exploratory Data Analysis of COVID-19 Trends
  • Customer Segmentation for Marketing Strategies
Feel free to browse through the projects and discover my journey through the world of data!
Getting Started
To explore the projects in this repository and run the code on your local machine, follow these steps:
  1. Clone the Repository: Clone this repository to your local machine using the following command:
    git clone https://github.com/your-username/data-science-playground.git

  2. Navigate to Project: Enter the cloned repository directory:
    cd data-science-playground

  3. Install Dependencies: Install the necessary dependencies by running:
    pip install -r requirements.txt

  4. Explore Projects: Browse through the projects directory to find the project that interests you the most. Each project folder contains a README.md file with instructions on how to run the code and experiment with the data.
Contributing
While this repository primarily serves as my personal playground, I'm open to collaboration and constructive feedback. If you have suggestions, improvements, or new project ideas, feel free to reach out or submit a pull request. Let's learn and grow together in the exciting world of Data Science!
License
This repository is licensed under the MIT License. For more details, please see the LICENSE file.
Thanks for visiting my Data Science Playground! I hope you find inspiration and insights within these projects. Happy exploring! 🚀
Feel free to contact me, If you're interested in collaborating on projects, discussing opportunities 
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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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My Data Science Playground
Welcome to my Data Science Playground! This repository is where I explore various Data Science projects from the ground up, experiment with different techniques, and showcase my learning journey in the realm of data.
Table of Contents
  1. Introduction
  2. Projects
  3. Getting Started
  4. Contributing
  5. License
Introduction
Data Science is my passion, and this repository serves as a playground where I delve into different aspects of the field. From machine learning to data visualization, I'm constantly pushing the boundaries of what's possible with data.
Projects
Explore a diverse range of Data Science projects that I've worked on in this repository. Each project reflects my interests, curiosity, and dedication to mastering the art of data analysis and interpretation. Here are some highlights:
  • Sentiment Analysis on Movie Reviews
  • Predictive Modeling for Stock Price Forecasting
  • Image Recognition with Deep Learning
  • Exploratory Data Analysis of COVID-19 Trends
  • Customer Segmentation for Marketing Strategies
Feel free to browse through the projects and discover my journey through the world of data!
Getting Started
To explore the projects in this repository and run the code on your local machine, follow these steps:
  1. Clone the Repository: Clone this repository to your local machine using the following command:
    git clone https://github.com/your-username/data-science-playground.git

  2. Navigate to Project: Enter the cloned repository directory:
    cd data-science-playground

  3. Install Dependencies: Install the necessary dependencies by running:
    pip install -r requirements.txt

  4. Explore Projects: Browse through the projects directory to find the project that interests you the most. Each project folder contains a README.md file with instructions on how to run the code and experiment with the data.
Contributing
While this repository primarily serves as my personal playground, I'm open to collaboration and constructive feedback. If you have suggestions, improvements, or new project ideas, feel free to reach out or submit a pull request. Let's learn and grow together in the exciting world of Data Science!
License
This repository is licensed under the MIT License. For more details, please see the LICENSE file.
Thanks for visiting my Data Science Playground! I hope you find inspiration and insights within these projects. Happy exploring! 🚀
Feel free to contact me, If you're interested in collaborating on projects, discussing opportunities 
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