<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Education on Dipankar Nath</title><link>https://dipankarnath.pages.dev/tags/education/</link><description>Recent content in Education on Dipankar Nath</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 20 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://dipankarnath.pages.dev/tags/education/index.xml" rel="self" type="application/rss+xml"/><item><title>ML Visualizer — An Interactive Platform for Learning Machine Learning</title><link>https://dipankarnath.pages.dev/posts/ml-visualizer/</link><pubDate>Sat, 20 Jun 2026 00:00:00 +0000</pubDate><guid>https://dipankarnath.pages.dev/posts/ml-visualizer/</guid><description>&lt;p&gt;&lt;strong&gt;ML Visualizer&lt;/strong&gt; is an interactive learning platform that turns abstract
machine-learning concepts into things you can &lt;em&gt;see and play with&lt;/em&gt;. Instead of
reading a definition of bias–variance tradeoff, you drag a slider and watch the
model curve overfit or underfit in real time.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://majestic-fairy-9b2adc.netlify.app/"&gt;🔗 Live demo&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img alt="ML Visualizer dashboard" loading="lazy" src="https://dipankarnath.pages.dev/posts/ml-visualizer/ml-visualizer.png"&gt;&lt;/p&gt;
&lt;h2 id="the-idea"&gt;The idea&lt;/h2&gt;
&lt;p&gt;Most people learn ML from static diagrams and equations. ML Visualizer flips
that: every concept is a &lt;strong&gt;hands-on, interactive visualization&lt;/strong&gt;. Move a
control, and the chart, error metrics, and explanation all update live — so the
intuition clicks.&lt;/p&gt;</description></item></channel></rss>