Neural Digest, complex information in digestable bits.
Join me in this adventure as we untangle the knot,
that is Data and Machine Learning.
Before analytics can scale, before dashboards can be trusted, and before transformations can be efficient, the foundation has to be solid. That foundation is schema design. A good schema makes querying intuitive, keeps pipelines maintainable, and ensures your warehouse grows sustainably.
Recently, I was asked an interesting question: How would you go about designing a data style guide? Though I answered the question with what I had in mind, my answer did not do justice to the question. A lot of parts were missing. So, let's talk about it: How does one design a data style guide?
A collection of ML challenges, and my approch to solving those problems, from Kaggle. Hope you enjoy! 😁
This is a fun project I did to build a boolen logic intreperter in python. Not all things have to be too serious 😉