ML Guides

Step-by-step machine learning guides with interactive visualizations. Learn fundamental concepts by experimenting directly in your browser.

Gradient Descent Explained

Interactive visualizer with step-by-step animation. Learn SGD, mini-batch, Adam optimizer, learning rate selection, momentum, and convergence criteria.

Overfitting vs Underfitting

Interactive bias-variance tradeoff visualizer. Adjust polynomial degree to see underfitting, good fit, and overfitting in real time with regularization demos.

K-Fold Cross Validation Explained

Interactive K-Fold simulator. Set K from 2-20, visualize fold assignments with color-coded splits, and compare K values on accuracy charts.

Data Augmentation Gallery

Apply rotation, flip, crop, brightness, contrast, blur, noise, and color jitter to images with live preview. Generate PyTorch and TensorFlow code.