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Day 4 focused on the unglamorous but critical work of making MealVeda production-ready. This meant implementing robust error handling, user feedback systems, and data normalization layers that transform a functional demo into a reliable app. API Reli...

Database performance can become a significant issue as your application grows, often due to poor database design patterns. The key question is: how should you structure your database schema? The answer is not one-size-fits-all; it depends on various ...

Data encoding is an essential aspect of machine learning that involves converting data into a format that can be easily understood by algorithms. To identify patterns and make predictions, machine learning models use data encoding to convert raw data...
