Index: Machine Learning
A series on machine learning fundamentals, from nearest neighbors to neural networks, with hands-on experiments and a capstone project.
Articles
- K-Nearest Neighbors
- K-Nearest Neighbors
- Experiment: MNIST Digit Classification
- Decision Trees
- Decision Trees
- Experiment: Heart Disease Prediction
- Linear Regression
- Linear Regression
- Gradient Descent
- Experiment: Gradient Descent
- Practice Problems
- Logistic Regression & Regularization
- Logistic Regression and Regularization
- Neural Networks
- Neural Networks
- Backpropagation
- Backpropagation
- Bias-Variance & Bagging
- Bias-Variance Tradeoff and Bagging
- Naive Bayes
- Naive Bayes
- Gaussian Discriminant Analysis
- Gaussian Discriminant Analysis
Experiments
- Painting Classifier
- Experiment: Painting Classifier
- Feature Engineering Pipeline
- Model Comparison