What does the phrase “Garbage In, Garbage Out” mean in data science and machine learning? How does poor-quality data affect the performance of analytics and AI models? What are the common causes of inaccurate or low-quality data in datasets? How can data cleaning and preprocessing improve model accuracy and reliability? What are the real-world consequences of using poor-quality data in decision-making systems?