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<!-- Blogs Page HTML here -->
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<title>Blogs — Sumer Pasha</title>
<link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.2.19/dist/tailwind.min.css" rel="stylesheet">
<link rel="stylesheet" href="assets/css/styles.css">
<link rel="icon" type="image/svg+xml" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 24 24'%3E%3Ccircle cx='12' cy='12' r='10' fill='%230ea5a4'/%3E%3C/svg%3E">
</head>
<body class="text-gray-200">
<!-- Header -->
<header class="site-header py-4">
<div class="container flex items-center justify-between">
<a href="index.html" class="flex items-center gap-3">
<div>
<div class="text-white font-extrabold text-xl whitespace-nowrap">Sumer Pasha</div>
<div class="tagline text-lg font-bold text-gray-200">
<div>Data Analyst</div>
<div>Python Automation Engineer</div>
<div>Machine Learning Engineer</div>
</div>
</div>
</a>
<div class="container flex items-center justify-between">
<a href="#" class="font-semibold text-white"></a>
<nav class="hidden md:flex items-center space-x-4">
<a class="nav-link" href="index.html">Home</a>
<a class="nav-link" href="projects.html">Projects</a>
<a class="nav-link" href="skills.html">Skills</a>
<a class="nav-link" href="experience.html">Experience</a>
<a class="nav-link" href="certifications.html">Certifications</a>
<a class="nav-link" href="blogs.html">Blogs</a>
<a class="nav-link" href="contact.html">Contact</a>
</nav>
<button id="mobile-toggle" class="md:hidden bg-transparent p-2 rounded text-gray-200">☰</button>
</div>
</div>
<div id="mobile-menu" class="hidden md:hidden container mt-2">
<a class="block py-2" href="index.html">Home</a>
<a class="block py-2" href="projects.html">Projects</a>
<a class="block py-2" href="skills.html">Skills</a>
<a class="block py-2" href="experience.html">Experience</a>
<a class="block py-2" href="certifications.html">Certifications</a>
<a class="block py-2" href="blogs.html">Blogs</a>
<a class="block py-2" href="contact.html">Contact</a>
</div>
</header>
<!-- Main -->
<main class="container mt-8">
<h1 class="text-2xl font-semibold text-white">Blogs</h1>
<p class="text-gray-400 mt-2">A selection of my published articles.</p>
<div class="grid grid-cols-1 md:grid-cols-2 gap-6 mt-6">
<!-- Blog 1 -->
<article class="card">
<h3 class="font-semibold text-white">Python’s OOP Revolution</h3>
<p class="text-gray-400 mt-2">
Explored how Python’s OOP features simplify code organization and scalability.
</p>
<a class="text-sm underline text-gray-300" href="https://certisured.com/blogs/python-oop-revolution" target="_blank">Read full →</a>
</article>
<!-- Blog 2 -->
<article class="card">
<h3 class="font-semibold text-white">The Importance of SQL</h3>
<p class="text-gray-400 mt-2">
Discussed SQL's role in modern data workflows and decision-making.
</p>
<a class="text-sm underline text-gray-300" href="https://certisured.com/blogs/the-importance-of-sql-in-today-s-world-a-fundamental-data-manipulation-language" target="_blank">Read full →</a>
</article>
<!-- Blog 3 -->
<article class="card">
<h3 class="font-semibold text-white">Mastering Data Cleaning with Python: Pandas, Matplotlib, and Seaborn</h3>
<p class="text-gray-400 mt-2">
Whether you're a data analyst, scientist, or ML engineer, the quality of your data defines the accuracy of your insights. According to IBM, poor data quality costs the U.S. economy $3.1 trillion annually. Let that sink in.
</p>
<a class="text-sm underline text-gray-300" href="https://www.linkedin.com/pulse/mastering-data-cleaning-python-pandas-matplotlib-seaborn-sumer-pasha-wjjuc" target="_blank">Read full →</a>
</article>
<!-- Blog 3 -->
<article class="card">
<h3 class="font-semibold text-white">Understanding Regularization: How to Prevent Overfitting in Machine Learning Models</h3>
<p class="text-gray-400 mt-2">
In the realm of machine learning, the ability to generalize well to unseen data is paramount. One of the most common challenges faced in this context is overfitting, where a model performs exceptionally well on training data but fails to replicate that performance on new, unseen data
</p>
<a class="text-sm underline text-gray-300" href="https://www.linkedin.com/pulse/understanding-regularization-how-prevent-overfitting-machine-pasha-mqwqc" target="_blank">Read full →</a>
</article>
<!-- Add more blogs as needed -->
</div>
</main>
<!-- Footer -->
<footer class="footer">
<div class="container">© 2025 Sumer Pasha</div>
</footer>
<script src="assets/js/main.js"></script>
</body>
</html>