The Importance of Data Quality in AI and ML Projects

In today's data-driven world, ensuring high-quality data is crucial for building accurate machine learning (ML) models. Without thorough Exploratory Data Analysis (EDA), even the most complex algorithms can lead to flawed results. EDA allows us to dive deep into our data, identifying patterns, anomalies, and irrelevant information that can impact model performance. By understanding your data, you set a solid foundation for successful AI or ML projects.

Source: https://dev.to/gekika/understanding-your-data-the-essentials-of-exploratory-data-analysis-1gm0