ML

Machine learning algorithms built from scratch with Python.

Supervised learning

• Regression
  • Linear regression
  • Regularized linear regression (ridge, lasso, elastic net)
• Classification
  • Logistic regression
  • SVM
  • k-NN
• Tree-based
  • Decision tree
• Ensemble learning
  • Random forest
  • Boosting (AdaBoost, Gradient Boosting)
• Neural Networks
  • NN
  • CNN
  • RNN (incl. GRU, LSTM)
• Recommender system
  • Collaborative filtering

Unsupervised learning

• Clustering
  • k-means
  • Hierarchical clustering
• Dimensionality reduction
  • t-SNE
  • PCA
  • NMF
  • Factor analysis
• Anomaly detection
• NLP
  • Word embedding
  • Latent Dirichlet allocation

Reinforcement learning

• Deep Q-network

Transfer learning

Miscellaneous

• Matrix factorization problems