What are the steps involved in data preprocessing?
An example of an AI chatbot conversation about data preprocessing steps.
What are the steps involved in data preprocessing?
Data preprocessing typically involves several key steps: data cleaning, data transformation, data reduction, and data integration.
Can you explain data cleaning in more detail?
Sure! Data cleaning involves removing or correcting inaccuracies, handling missing values, and eliminating duplicates to ensure data quality.
What about data transformation?
Data transformation includes normalizing or scaling data, encoding categorical variables, and creating new features to improve model performance.
How do I handle missing values?
You can handle missing values by removing them, imputing with mean/median/mode, or using algorithms that support missing data.
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