Data

Pandas provides so many options of reading data into a DataFrame, here's our short guide to ones that we found most useful.

Machine learning models can be trained to recognize patterns in datasets. By utilizing algorithms, they can learn to make decisions based on these patterns.

Learn the simplest way to generate synthetic data without setting up your own infrastructure and GPUs.

Generate large volumes of tabular synthetic data at high speed.

Augment or balance your ML datasets in minutes with state-of-the-art generative models.

Gretel and Google Cloud harness the power of synthetic data to accelerate safer adoption of generative AI in the enterprise.

Learn to prepare tabular data for AI and ML with an end-to-end data cleaning workflow.

Gretel’s privacy-first generative AI is now available to all Azure users as well as select enterprises through the Microsoft for Startups Pegasus Program.

Leverage Gretel’s New Ultra-Fast and Fully Flexible De-Identification and Rule-Based Transformation Solution for HIPAA Compliance.

Effective strategies for leveraging high-quality synthetic data to improve RAG model performance.