Source: Deep Learning on Medium

# Data Types used in Machine Learning

**Numerical**

It represent some sort of quantitative measurement.

for example: Height of a people, stock prices

**Discrete Data**

Integer based, often counts of something

for example: How many times did I fillip “Heads”?

**Continuous Data**

Has an infinite no of possible values

for example : How much rain fall on a given day?

**Categorical Data**

Qualitative Data

For example: Gender, Yes/No, Race etc

you can assign some number to categorical data but they don’t have any mathematical meaning

**Ordinal Data**

Mixture of numerical and categorical

categorical data has mathematical meaning

For example: Movie rating on a scale of 1–5

Rating must be 1,2,3,4,5

They have mathematical meaning. Like rating 1 movie is worse than rating 2 movie