Data

Predicting the utilization rate of a given market on Compound Finance V2 🔍

• Data collection, preprocessing
• Building a neural network in PyTorch
• Transpiling, deploying, and running a verifiable inference with Giza CLI

Predicting the utilization rate of a given market on Compound Finance V2 🔍

• Data collection, preprocessing
• Building a neural network in PyTorch
• Transpiling, deploying, and running a verifiable inference with Giza CLI

https://actions.gizatech.xyz/tutorials/compound-v2-utilization-rate-prediction

co-founder gizatech.xyz 🚀 / prev. Head of ML Eng. @adidas / ZKML / tech+optimism.

Cheers for sharing. Mostly over my head but enjoyed reading it; what would you recommend for a less knowledgeable person to get to grips with some of this?

You could start by learning data analysis, featuring engineering experimenting with different datasets and keep increasing difficulty. Kaggle is a good place to start with the basics from practical examples :)