From the course: Enhancing Your Productivity as a Data Scientist with Generative AI
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Overview: Data preparation with GenAI
From the course: Enhancing Your Productivity as a Data Scientist with Generative AI
Overview: Data preparation with GenAI
- [Narrator] Let's talk about the augmentation of data preparation with generative AI. This is one of the most critical parts because as you know, preparing and cleaning data is the most time consuming part of a data science project. But just to quickly recap, what are the main goals of the data preparation phase? First of all, we need to transform raw data into an analysis ready format. Very often that involves converting columns or data types to things that we can actually work with. We typically also want to ensure data quality and consistency. So anything that was flagged or highlighted during the exploratory data analysis phase might need to be fixed here. Also, this is something where we want to bring the data to a format that can actually be used for modeling. That very often involves adding or creating additional features that we can use in order to get better predictive performance. And also, we want to handle special data types effectively. So if we have anything that should…
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