Exercise

# Generate a 2d uniformly distributed dataset.

The aim of this lesson is to create a dataset that will be used to illustrate the basic principles of support vector machines. In this exercise we will do the first step, which is to create a 2 dimensional uniformly distributed dataset containing 600 datapoints.

Instructions

**100 XP**

- Set the number of data points,
`n`

. - Generate a dataframe
`df`

with two uniformly distributed variables,`x1`

and`x2`

lying in (0, 1).