Machine Learning Lab

Mode:

LR: 0.010

Epoch: 0

Machine Learning Visualizer – Train Models Interactively

Machine learning enables computers to improve performance on tasks by learning statistical patterns from data rather than following explicitly programmed rules. This visualizer lets you draw or upload your own datasets, choose an algorithm—linear regression, logistic regression, or a neural network—and watch the model train epoch by epoch, with the loss curve and decision boundary updating live. Tweaking hyperparameters immediately shows their effect on generalization, giving you the hands-on intuition that textbook equations alone cannot convey.

What you can do in this simulation

Draw custom datasets in 2D and watch a classifier learn decision boundaries in real time
Adjust learning rate and watch gradient descent converge fast or oscillate
Add layers and neurons to a neural network and observe training dynamics change
Toggle regularization strength and see overfitting and underfitting effects on a validation set
Plot the loss curve and evaluate accuracy, precision, and recall on held-out data

Concepts covered

machine learning · gradient descent · supervised learning · neural network · overfitting · hyperparameters

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