Preprocess data with Data Wrangler in Microsoft Fabric
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Data Wrangler serves as a comprehensive tool for preprocessing data. It enables users to clean data, handle missing values, and transform features to build machine learning models.
Learn Data Wrangler features, and its role in the data science workflow., Perform different types of preprocessing operations in data science., Learn how to handle missing values, and imputation strategies., Use one-hot encoding and other techniques to convert categorical data into a format suitable for machine learning algorithms.
Prerequisites
Before starting this module, you should be familiar with the basic principles of machine learning.
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