What is data preparation in machine learning?
An example of an AI chatbot conversation about data preparation in machine learning.
What is data preparation in machine learning?
Data preparation is the process of cleaning and transforming raw data into a usable format for machine learning.
Why is data preparation important?
It's crucial because high-quality data leads to better model performance and more accurate predictions.
What are the steps involved in data preparation?
The main steps include data cleaning, data transformation, feature selection, and data splitting.
Can you explain data cleaning?
Data cleaning involves removing inaccuracies, handling missing values, and correcting inconsistencies in the dataset.
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