Cainã Max Couto da Silva
Hi, my name is Cainã,
I'm the father of a human, a dog, and a cat.
I love traveling and gathering around with family and friends.
Professionally speaking, as a data scientist with a PhD in bioinformatics and over ten years of working on relevant projects, I developed a strong data science and analytics foundation. I have spent the last few years working at world‑renowned companies, developing end‑to‑end machine learning applications. Additionally, driven by my passion for knowledge, I've taught specialized courses in various data science topics. I am always eager to apply my expertise and create meaningful impacts.
Sessions
This webinar will introduce machine learning pipelines and discuss their importance in building efficient and robust workflows. It will explain how pipelines help to prevent data leakage and ensure model stability by allowing for proper separation of training, validation, and test data. Through a blend of theory and practice, it will provide and explain code chunks in Python using well-known open-source packages like scikit-learn (pipeline and column transformers) and feature-engine to ensure a complete understanding of the .fit(), .transform(), and .predict() methods. By the end of this webinar, the audience will have a solid understanding of the theory behind machine learning pipelines and practical examples of using them effectively in their projects.