Data Quality: Understanding Garbage In, Garbage Out

In this video, we dive deep into the importance of data quality and the famous concept "Garbage In, Garbage Out" (GIGO). Learn how poor data quality can impact business decisions and the role it plays in machine learning and analytics. Stay tuned for key insights and tips to ensure your data is clean and reliable

Key Moments:
00:00 – Introduction
00:08 – Effects of Poor Data Quality
00:11 – What is Garbage In, Garbage Out (GIGO)?
00:21 - Impact of Incorrect Data on Models and Predictions
01:54 - Discussion on Bias Data and Its Impact on Model Training
06:15 - Transition to "Garbage Out" Consequences

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