Walkthrough: Create Synthetic Data from any DataFrame or CSV

The text discusses using Gretel's APIs to create synthetic data from a CSV or Pandas DataFrame. It provides step-by-step instructions on how to install the Gretel client, interact with the API services, and train an AI model for generating synthetic data. The process involves creating a project, loading sample data into a DataFrame, training the model using the Gretel cloud, evaluating its performance, and generating synthetic data. The text also explains how to assess the quality of the generated synthetic data by comparing it with the original dataset in terms of statistical measures, correlations, distributions, and dimensionality reduction techniques.