Add explanation on importance of data quality in ML

Added a beginner-friendly section explaining why data quality is important in machine learning.

1-Introduction/1-intro-to-ML/README.md

@@ -102,6 +102,13 @@ This motivation is loosely inspired by how the human brain learns certain things
 ✅ Think for a minute why a business would want to try to use machine learning strategies vs. creating a hard-coded rules-based engine.
 
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+### Why data quality matters
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+High-quality data improves model performance. Poor or noisy data can lead to inaccurate predictions, even when using advanced machine learning algorithms.
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 ## Applications of machine learning
 
 Applications of machine learning are now almost everywhere, and are as ubiquitous as the data that is flowing around our societies, generated by our smart phones, connected devices, and other systems. Considering the immense potential of state-of-the-art machine learning algorithms, researchers have been exploring their capability to solve multi-dimensional and multi-disciplinary real-life problems with great positive outcomes.