Want to build powerful AI models? It all starts with data preprocessing! In this video, we break down the importance of clean data, methods for handling missing values, normalization, and outlier detection. We also dive deep into feature selection and feature engineering, showing how these techniques can enhance your AI model’s performance. With real-world examples from healthcare, e-commerce, and beyond, you’ll learn how to prepare your data like a pro for machine learning success.