Use AI to Create Synthetic Data from a DataFrame or CSV

In this tutorial, Alex walks you through how to use AI to create synthetic data from a DataFrame or CSV using Gretel. Jupyter Notebook from the video on our GitHub: github.com/gretelai/gretel-bl... Run the notebook in your browser via Google Colab: colab.research.google.com/git... ------- ► Get started with Gretel: console.gretel.cloud/ ► Join the Slack community: gretel.ai/slackinvite Gretel is Privacy Engineering as a Service. We build privacy engineering tools delivered to you as APIs. Synthesize and transform data in minutes and build trust with your users and community. Find us elsewhere on the internet Website: gretel.ai/ Twitter bit.ly/3BMGHRM LinkedIn: bit.ly/3ycC5SM GitHub: bit.ly/3zGpcAJ Medium: medium.com/gretel-ai TIMESTAMPS 00:00 Tutorial: Use AI to Create Synthetic Data from a Dataframe or CSV 00:15 Create a New Project 00:40 Launch a Project to Create Synthetic Data from a CSV or Dataframe 01:08 Run the Python Script 01:29 Get Your Gretel API Key 04:05 What Is a Validator? 06:25 Review How Your Model Created Synthetic Dataset

• #science_technology
• #tensorflow
• #data_privacy
• #synthetic_data
• #machine_learning
• #artificial_intelligence
• #machine_learning
• #data_syndication
• #ml_models
• #gretelai
• #setting_up_virtual_environment
• #virtual_environment