How to Build an End-To-End ML Pipeline With Databricks & Aporia
This tutorial will show you how to build a robust end-to-end ML pipeline with Databricks and Aporia. Here’s what you’ll...
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Shuffling rows in a DataFrame means changing the order of rows. In this short how-to article, we will learn how to do this operation in Pandas DataFrames.
We can use the sample method, which returns a randomly selected sample from a DataFrame. If we make the size of the sample the same as the original DataFrame, the resulting sample will be the shuffled version of the original one.
# with n parameter
df = df.sample(n=len(df))
# with frac parameter
df = df.sample(frac=1)
The frac and n parameters define the size of the sample.
This tutorial will show you how to build a robust end-to-end ML pipeline with Databricks and Aporia. Here’s what you’ll...
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