ML Notebook

Your interactive guide to understanding machine learning algorithms through visualizations and explanations

Welcome to ML Notebook

Your interactive guide to understanding machine learning algorithms

This platform provides interactive visualizations and explanations for various machine learning algorithms. Explore different models, understand their mechanics, and see how they work with different parameters and data distributions.

Explore Models

Supervised Learning

Models that learn from labeled data

Explore algorithms like Linear Regression, Decision Trees, Support Vector Machines, and Neural Networks. Understand how these models learn patterns from labeled data to make predictions.

Classification Models Regression Models

Unsupervised Learning

Models that find patterns in unlabeled data

Discover clustering algorithms like K-Means and Hierarchical Clustering, as well as dimensionality reduction techniques like PCA. Learn how these models uncover hidden structures in data.

Clustering Models Dimensionality Reduction

Neural Networks

Deep learning models inspired by the human brain

Explore the architecture and mechanics of neural networks, from simple multilayer perceptrons to specialized architectures like CNNs for image processing, RNNs for sequential data, and transformers for natural language processing.

Neural Network Models

Learning Resources

Additional materials to enhance your understanding

Access glossaries, cheat sheets, and curated learning paths to deepen your knowledge of machine learning concepts and techniques.

Browse Resources