Learn by Doing
Explore machine learning and AI concepts through interactive demonstrations. No coding required - just click, experiment, and learn how these powerful technologies work behind the scenes.
Visualize how neural networks process information through layers of interconnected nodes.
Click to add data points and watch the algorithm find the best fitting line.
Watch the K-means algorithm group data points into clusters automatically.
Explore how decision trees make classifications through a series of yes/no questions.
Type any text and see how AI determines if the sentiment is positive, negative, or neutral.
Click to upload or drag an image here
Upload an image and watch AI identify what objects are in the picture.
See how a simple perceptron learns to separate two classes of data points.
| Age | Income | Score |
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Learn how to clean and prepare data for machine learning algorithms.
Visualize how gradient descent finds the minimum of a function step by step.
Watch an AI agent learn to navigate a grid world using reinforcement learning.
Understand which features are most important for making predictions in your model.
Learn how to evaluate classification models using confusion matrices and metrics.
See the difference between models that are too simple, just right, or too complex.
Visualize how PCA reduces data dimensions while preserving important information.
See how combining multiple models can create more accurate predictions.
Linear Regression, Sentiment Analysis, Data Preprocessing
K-Means Clustering, Decision Trees, Perceptron Learning
Neural Networks, Gradient Descent, PCA, Ensemble Methods