[Video tutorial] How To Convert a scikit-learn Model Into Its Homomorphic Equivalent

Concrete ML is a Privacy-Preserving Machine Learning set of tools that aims to simplify the use of Fully Homomorphic Encryption (FHE) for developers so they can automatically turn machine learning models into their homomorphic equivalent. 

In this video tutorial, Zama team member and machine learning engineer Roman Bredehoft, shows you how easy it is to convert a scikit-learn model into its homomorphic equivalent with Concrete ML.

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Additional links

• Star the Concrete ML Github repository to endorse our work.
• Review the Concrete ML documentation.
• Get support on our community channels.
• Learn FHE, help us advance the space and make money with the Zama Bounty Program.