easy-ml

A collection of classical machine learning algorithms implemented from scratch. Each algorithm in this repository is designed with simplicity and clarity in mind, making it an ideal resource for beginners and those who want to explore the inner workings of machine learning models.

models

• supervised learning
  • k-nearest neighbors
  • linear regression
  • logistic regression
  • perceptron
  • gaussian discriminant analysis
• unsupervised learning
  • k-means

notebooks

• classification
• regression
• clustering

resources

• notes from stanford cs299
• scikit-learn user guide