What are the key steps in data preparation for predictive analytics?
An example of an AI chatbot conversation about data preparation for predictive analytics.
What are the key steps in data preparation for predictive analytics?
The key steps include data collection, data cleaning, data transformation, and data integration.
Can you explain data cleaning in more detail?
Data cleaning involves removing inaccuracies, handling missing values, and correcting inconsistencies in the dataset.
What tools can I use for data preparation?
Popular tools include Python libraries like Pandas, R, and data preparation platforms like Alteryx and Talend.
How do I handle missing data during preparation?
You can handle missing data by removing records, imputing values, or using algorithms that support missing values.
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