17. Clustering
A clustering problem is where you want to
discover the inherent groupings in the data,
such as grouping customers by purchasing
behavior.
19. Association
An association rule learning problem is where
you want to discover rules that describe large
portions of your data, such as people that buy
X also tend to buy Y.
20. Unsupervised Learning Algorithms
❏ Hierarchical clustering
❏ K-means clustering
❏ K-NN (k nearest neighbors)
❏ Principal Component Analysis
❏ Singular Value Decomposition
❏ Independent Component Analysis
❏ Association Rules
22. Reinforcement learning
❏ Allows the machine or software agent to learn
its behavior based on feedback from the
environment
❏ Learn by doing
❏ Learn from mistake
24. Deep Learning
❏ Deep learning is a machine learning technique
that teaches computers to do what comes
naturally to humans: learn by example.
❏ Artificial Neural Networks
26. ML Workflow
❏ Find Out The Problem
❏ Creating Dataset
❏ Dataset Cleaning and Visualization
❏ Algorithm Selection
❏ Model Training
❏ Model Testing
❏ Deployment