Supervised Learning
A model learns from labelled data
Unsupervised Learning
The model find patterns from unlabbelled data to understand it
Reinforcement Learning
Model learns from trial and error
Association
Identifies relationships between variables
Clustering
Groups similar data points
Classification
Divides data into predefined categories based on features
Nominal
Used to label data without providing numbers e.g. eye colour, name
Interval
Used for data on a scale with equal intervals between data point e.g. temperature
Ordinal
Is used for data that can be ordered data like grades or rankings
Mean
Average
Mode
Value that appears most often in a set
Median
Middle value in a list of ordered values