What are the key steps in data preprocessing?
An example of an AI chatbot conversation about data preprocessing techniques and best practices.
What are the key steps in data preprocessing?
The key steps in data preprocessing include data cleaning, data transformation, and data reduction.
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.
What techniques can I use for data transformation?
Common techniques for data transformation include normalization, standardization, and encoding categorical variables.
How do I handle outliers in my data?
Outliers can be handled by removing them, transforming them, or using robust statistical methods that are less sensitive to them.
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