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Machine Learning - Data Distribution
Data Distribution
In the real world, data sets are very large, but it can be difficult to collect real-world data, at least at the beginning of a project.
How Can we Get Big Data Sets?
To create larger sets of test data, we use the Python NumPy module, which comes with many ways to create random data sets, of any size.
Example
import numpy
x = numpy.random.uniform(0.0, 5.0, 250)
print(x)
x = numpy.random.uniform(0.0, 5.0, 250)
print(x)