Welcome to the One-shot Workshop Series by Bangkok School of AI. The purpose of these workshops is to get you to learn ONE skill after two hours of a tutorial session, then allow you to put that skill to use in the next two-hour mini-hackathon.
This time we will learn to create a recommendation system from scratch using tree-based models with scikit-learn and deep learning models using PyTorch. The dataset contains 25,331 pipelines used internally at SnapLogic. Each pipeline contains a series of snaps--a block of codes that perform various functions such as data ingestion, manipulation, and even machine learning. No pipeline in this dataset belongs to SnapLogic customers.
Venue sponsor: True Innovation Center @ Siam Soi 3 (Opposite K-Bank) Level 4
Dataset sponsor: SnapLogic is one of the world's leading data integration companies based in San Mateo, CA. They provide excellent machine learning use cases using their platform in this repository.
See details here: https://github.com/datatouille/snaplogic_snap_recommendation
We expect participants to be comfortable with Python; machine learning knowledge is a plus. Other than that, you are all set to come. All codes can be run by Google Colab so you only need to bring your laptop, Internet access and curiosity.
Our mission is to offer a world-class AI education to anyone on Earth for free. This workshop, therefore, is FREE, although we will de-prioritize you in the next meetups for no shows.