Dive into H2O: Singapore

National University of Singapore

21 Lower Kent Ridge Rd · Singapore

How to find us

Room LT19, 1 Business Link, Biz 2 Building

Location image of event venue


H2O.ai is coming to Singapore!

*****Please RSVP on this Eventbrite link to register:

Your RSVP on this meetup page will not count towards your spot!******


This training and workshop are geared towards the data science practitioner wanting to dive deep into H2O Driverless AI. With Driverless AI, everyone including expert and junior data scientists, domain scientists, and data engineers can develop trusted machine learning models. This next-generation automatic machine learning platform delivers unique and advanced functionality for data visualization, feature engineering, model interpretability and low-latency deployment.

We're excited to have recently added the ability for users, partners and customers to extend the platform with Bring-Your-Own-Recipe. Domain experts and advanced data scientists can now write their own recipes and seamlessly extend Driverless AI with their favorite tools from the rich ecosystem of open-source data science and machine learning libraries.

Shivam Bansal from H2O.ai will lead a hands-on lab with our groundbreaking product, H2O Driverless AI which automates machine learning.

Don't forget to bring your laptops and power cords.

Shivam Bansal's Bio:

Shivam is the Senior Data Scientist at H2O.ai and Kaggle Kernels Grandmaster. He is the three times winner of Kaggle's Data Science for Good Competition and winner of multiple other offline AI and Data Science competitions including Chengdu 80 and NUS Innovation Challenge. Shivam has extensive cross-industry and hands-on experience in building data science products. He has helped clients in the Insurance, Healthcare, Banking, and Retail domains to solve unstructured data science problems by building an end to end pipelines and solutions. Shivam is the alumni of MSBA NUS.


3:00 - 3:30 PM - Check-in and networking

3:30 - 6:00 PM - H2O Driverless AI Training by Shivam Bansal

- Custom Machine Learning Recipes

- Machine Learning Interpretability

- Feature Engineering

- Auto-Visualization

- Hands-On Lab

6:00 PM Session Ends

***Special thank you to the NUS Team for hosting our training!***