Data Science & AI Code-Alongs

In this code-along, JP shows you how to use Weaviate, a leading open source vector database, to build apps that can understand and manipulate them based on meaning.

Learn how to manage the features for your machine learning models, to save you time and improve the consistency of your models.

Join Filip Schouwenaars, VP of Engineering at DataCamp Workspace to see a real-time example of how AI can enable faster time to insight on data analysis tasks.

This training will aid you in optimizing your personal usage of ChatGPT and when developing powered GPT applications.

In this live training, we use ChatGPT Code Interpreter to perform a data analysis workflow on an Airbnb dataset.

This webinar shows you how to get started with experiment tracking, a pivotal yet frequently overlooked aspect of the data science lifecycle.

In this live training, you'll learn about data cleaning, shaping and loading techniques and learn about common database schemas for organizing tables for analysis.

Rewatch this training to discover what synthetic data is, how it protects privacy, and how it's being used to accelerate AI adoption in banking, healthcare, and many other industries.

In this live training aimed at aspiring and active data analysts, we’ll showcase this workflow by reporting on bicycle sales and inventory data stored in Microsoft SQL Server data.

In the live training, you'll use LangChain to build a simple AI application, including preparing and indexing data, prompting the AI, and generating responses.

Leverage the right tools to design reports. Using a video game dataset, you will learn how to customize charts, use themes, and some best practices when working on data visualizations.

In this session, using DataCamp Workspace we'll learn all about loading custom datasets into PyTorch and using transfer learning to perform an image processing task using a mostly-pretrained model, which we'll fine-tune.