How to Efficiently Structure Your Data Processing Code

Author(s): Byron Dolon

Originally published on Towards AI.

An end-to-end example of pre-processing data using method chaining with the pipe method in Pandas

Used with permission from my talented sister ohmintyartz

While a lot of attention is spent on making the machine-learning pipeline readable and reusable, it’s also important to make sure the same applies to your data pre-processing pipelines.

Before you even get into training a machine learning model, you’ll always need to do some exploratory data analysis, data cleaning, feature engineering, and other data transformation steps. All of this will get your data in a format ready for training a machine-learning model. Skipping this step can decrease the accuracy of the model you end up training.

There are many different ways to structure the… Read the full blog for free on Medium.

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Published via Towards AI