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Interactive Machine Learning Book

Learn ML concepts through interactive visualizations and progressive exploration

📚 Table of Contents

Chapter 1: Foundations
  • Linear Algebra
  • Probability and Statistics
  • Chapter Quiz
Chapter 2: Data Preparation
  • Data Visualization
  • Data Scaling
  • Chapter Quiz
Chapter 3: Linear Models & Optimization
  • Linear Regression
  • Loss Functions
  • Gradient Descent
  • Chapter Quiz
Chapter 4: Classification Fundamentals
  • Logistic Regression
  • Regularization
  • Over/Under Fitting
  • Chapter Quiz
Chapter 5: Model Evaluation
  • Performance Metrics
  • Chapter Quiz
Chapter 6: Tree-Based & Distance-Based Models
  • Decision Trees
  • K-Nearest Neighbors (KNN)
  • Chapter Quiz
Chapter 7: Support Vector Machines
  • Support Vector Machines (SVM)
  • Chapter Quiz
Chapter 8: Neural Networks Fundamentals
  • Perceptron
  • Activation Functions
  • Multilayer Perceptrons
  • Chapter Quiz
Chapter 9: Advanced Topics
  • Reinforcement Learning
  • Chapter Quiz

Chapter 1: Foundations

Mathematical and statistical fundamentals required for machine learning

Loading Linear Algebra...

Loading Probability and Statistics...

Loading quiz...

Chapter 2: Data Preparation

Essential techniques for preparing and understanding data

Loading Data Visualization...

Loading Data Scaling...

Loading quiz...

Chapter 3: Linear Models & Optimization

Introduction to basic ML models and how they learn

Loading Linear Regression...

Loading Loss Functions...

Loading Gradient Descent...

Loading quiz...

Chapter 4: Classification Fundamentals

Core concepts in classification and model improvement

Loading Logistic Regression...

Loading Regularization...

Loading Over/Under Fitting...

Loading quiz...

Chapter 5: Model Evaluation

Assessing and comparing model performance

Loading Performance Metrics...

Loading quiz...

Chapter 6: Tree-Based & Distance-Based Models

Non-linear models using different learning paradigms

Loading Decision Trees...

Loading K-Nearest Neighbors (KNN)...

Loading quiz...

Chapter 7: Support Vector Machines

Margin-based classification with kernel methods

Loading Support Vector Machines (SVM)...

Loading quiz...

Chapter 8: Neural Networks Fundamentals

Building blocks of deep learning

Loading Perceptron...

Loading Activation Functions...

Loading Multilayer Perceptrons...

Loading quiz...

Chapter 9: Advanced Topics

Specialized machine learning paradigms

Loading Reinforcement Learning...

Loading quiz...