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<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Data Driven World Interface</title>
<link rel="stylesheet" href="styles.css" />
</head>
<body>
<div class="bg-grid"></div>
<main class="container">
<header class="hero">
<p class="eyebrow">Course Interface</p>
<h1>Data Driven World</h1>
<p>
Explore NumPy matrix operations through an interactive visual lab.
Choose operations in natural language, set matrix shapes, and inspect
the generated NumPy code with input/output visualizations.
</p>
</header>
<section class="cards">
<a class="card" href="numpy-lab.html">
<h2>NumPy Matrix Lab</h2>
<p>
Operations, shape-aware inputs, NumPy snippets, and visualized arrays
up to 3 dimensions.
</p>
<span>Open Lab</span>
</a>
<a class="card" href="gradient-descent.html">
<h2>Gradient Descent Studio</h2>
<p>
Dynamic optimization walkthrough for one-feature linear regression
with step-level gradients, costs, and descent-direction landscapes.
</p>
<span>Open Studio</span>
</a>
<a class="card" href="linear-regression-steps.html">
<h2>Linear Regression Step Trainer</h2>
<p>
Solve hand-calculation style gradient and one-step parameter updates
on two easy samples with optional z-normalization.
</p>
<span>Open Trainer</span>
</a>
</section>
</main>
</body>
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