Interactive Tools
Experiment freely with these interactive simulators and games. No progression, no pressure, just explore and build intuition.
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EMDI by Inlearnia
Learn Markdown by writing in an editor and seeing real-time preview side by side.
Machine Learning7 tools
Rule vs ML
Compare rule-based systems with machine learning approaches. See why rigid rules fail where learning succeeds.
Lesson 1.1: When Rules Break
Physics Playground
A sandbox for understanding how data represents real-world phenomena through physics simulations.
Lesson 2.1: Observations, Not Numbers
Missing the Signal
Discover what happens when your data lacks essential information for making predictions.
Lesson 2.2: Missing the Signal
Data Collection Game
Learn what makes good training data by collecting measurements from solar panels.
Lesson 2.4: Quality Over Quantity
Solar Energy Predictor
Train a neural network to predict solar panel output based on weather conditions.
Lesson 4.1: The Training Loop
Overfitting Theater
Watch a model memorize training data instead of learning general patterns.
Lesson 5.2: The Overfitting Trap
Train/Test Split
Understand why we split data into training and testing sets for honest evaluation.
Lesson 5.4: Train/Test Split
Supervised Learning5 tools
Labels vs No Labels
Explore the difference between supervised and unsupervised learning through interactive examples.
Lesson 1.1: What is Supervised Learning?
Decision Boundary Playground
Visualize how classifiers draw lines to separate different categories.
Lesson 2.1: Classification Basics
Confusion Matrix
Learn to read the confusion matrix and understand different types of errors.
Lesson 3.1: Measuring Success
Regression Target Practice
Practice fitting lines to data points and understand regression fundamentals.
Lesson 4.1: Introduction to Regression
Problem Framing Lab
Learn to frame real-world problems as machine learning tasks.
Lesson 5.1: Framing Problems
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