How do I prepare data for AI models?

How do I prepare data for AI models?

Preparing data for AI models involves several steps: data collection, cleaning, transformation, and splitting.

What kind of data cleaning techniques should I use?

Common data cleaning techniques include handling missing values, removing duplicates, and correcting inconsistencies.

How do I handle missing values in my dataset?

You can handle missing values by removing them, imputing with mean/median, or using algorithms that support missing data.

What is data transformation and why is it important?

Data transformation involves converting data into a suitable format for analysis, which improves model performance.