Pau Labarta Bajo
Pau Labarta Bajo
hands-on-rl
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
hands-on-train-and-deploy-ml
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
build-and-deploy-real-time-feature-pipeline
Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
real-time-technical-indicators
Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expected.
bytewax-hopsworks-example
Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
adversarial-machine-learning
Hands-on tutorial on adversarial examples 😈. With Streamlit app ❤️.
real-time-data-pipelines-in-python
Real-time Feature Pipelines in Python ⚡
text-embedding-evaluation
Join 15k builders to the Real-World ML Newsletter ⬇️⬇️⬇️
end-2-end-real-time-ml
Let's build a real time fraud detection system using TurboML