A structured learning platform for Data Science, ML, and AI — built for people who want to actually understand the subject, not just pass a course.
Most DS/ML resources are either too theoretical (dense textbooks nobody finishes) or too shallow (YouTube videos that feel productive but leave gaps). There's rarely a structured, hands-on path that takes you from zero to genuinely job-ready.
Neuprise is an attempt to fix that — with a curriculum built around spaced repetition, quiz-based reinforcement, and interactive simulations, not passive reading.
Questions you get wrong resurface in revision sessions. You don't move on until it sticks.
Run Python directly in your browser via WebAssembly — no installations, no setup, no friction.
Gradient descent, neural networks, attention heatmaps, decision boundaries — see the math move.
Daily learning habits built in. Track your progress, earn XP, maintain your streak.
XP is awarded per question, not per lesson. The more you get right on your first try, the more you earn.
Example: A quiz with 10 questions, you get 8 right on your first attempt (8 × 2 = 16 XP). Later in review, you get the 2 wrong ones right (+2 XP). Total: 18 XP for the lesson.
Streaks track consecutive days of learning. You have a 30-hour window (24 hours + 6 hours buffer) to complete at least one lesson before your streak resets. A countdown timer in the navbar shows how much time you have left. Your streak and longest streak are both tracked on your profile.
Neuprise is a solo project — designed, built, and maintained by a single developer over the past 4 months. No team, no funding, no VC backing. Just a conviction that quality DS/ML education should be free and structured.
It's not perfect. Content is still being improved, features are being added based on user feedback, and some rough edges remain. That's intentional — shipping something real and iterating beats waiting for perfect.
Found a bug? Have a suggestion? Notice a lesson that's too thin? Use the feedback button inside any lesson. Every piece of feedback has been read and most have shaped the product.