What are some common data transformation techniques?
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What are some common data transformation techniques?
Common data transformation techniques include normalization, aggregation, encoding, and data type conversion.
Can you explain normalization in more detail?
Normalization is the process of scaling data to fit within a specific range, often between 0 and 1, to improve model performance.
What is data encoding and why is it important?
Data encoding transforms categorical data into a numerical format, making it suitable for machine learning algorithms.
Are there any tools that can help with data transformation?
Yes, tools like Apache Spark, Pandas, and Talend are popular for data transformation tasks.
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