What are the essential steps in data preprocessing?
An example of an AI chatbot conversation about data preprocessing steps.
What are the essential steps in data preprocessing?
Data preprocessing typically includes steps like data cleaning, normalization, transformation, and feature selection.
Can you explain data cleaning in more detail?
Sure! Data cleaning involves removing or correcting inaccurate records from a dataset, such as handling missing values or outliers.
What is normalization and why is it important?
Normalization scales the data to a standard range, which helps improve the performance of machine learning algorithms.
How do I handle categorical data during preprocessing?
You can handle categorical data by using techniques like one-hot encoding or label encoding to convert them into numerical format.
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