From the course: Enhancing Your Productivity as a Data Scientist with Generative AI

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Overview: Modeling with GenAI

Overview: Modeling with GenAI

- [Narrator] All right, let's go to the fun part. Modeling. To quickly recap, what are the goals of modeling here? First of all, we want to select appropriate modeling approaches. Depending on the business task that we have, there might be different models that could be suitable. So we want to choose which model might work best and narrow down our choices. Of course, in this phase, we also want to build and train effective models. It's about implementing them and training them on our actual data. And then finally, this is what often gets overlooked. We actually want to document what we did, the decisions that we made, and the code that we use for that. This ensures reproducibility and maintainability of our approach. Now here are the typical challenges you will encounter in this phase. Choosing the right algorithms, definitely a trial and error process to a certain degree. However, there's a big difference between testing 100 algorithms randomly versus narrowing down to maybe just 10…

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