Learn to build large language model applications: vector databases, langchain, fine tuning and prompt engineering. Learn more
This tutorial introduces the tools and libraries used in Python for data science and engineering. It covers basic concepts such as data processing, feature engineering, data visualization, modeling, and model evaluation. With this tutorial, participants will better understand end-to-end data science and engineering with a real-world case study.
Lead Data Strategy at Exxeta
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