Fall Workshops 2020 | Workshop #4: Hyperparameter Optimization

Are you a wanna-be, novice, experienced or senior Data Scientist?
Are you interested in learning new skills in Data Science for free and moving up to the next level? Then here is the event you have been waiting for! DataPhilly continues the monthly series of free hands-on workshops in Data Science.

Schedule:
6:00pm: Welcome and sponsor presentation by Slalom
6:15 to 8pm: Workshop

Workshop #4: HYPERPARAMETER OPTIMIZATION (Intermediate, Python)

Attendees will be able to:

• Define a hyperparameter and explain why they are important
• Describe specific hyperparameters
• Understand different methods for hyperparameter tuning
• Perform hyperparameter optimization
• Build a model from scratch while incorporating hyperparameter optimization

Presenters: Ben Attix (lead), Sayandeep Acharya, Ankush Israney

Ben Attix is a Data Science Consultant at Slalom. He graduated with a Master's in Information and Data Science from the University of California, Berkeley.

Pre-requisites: Attendees should understand what tree-based models (e.g. Random Forest) are from a high level. An in-depth understanding is NOT required.

Downloads: 10-15 minute setup instructions listed under "December 2020" here: https://dataphilly.github.io/Workshops/

All registered attendees are requested to check email or meetup page before workshop for information on downloading any workbooks or open source software.

THANK YOU to our Event Sponsors:

Elastic - https://www.elastic.co/
Guru - https://www.getguru.com/
HVH/Eversana - https://www.eversana.com/
Promptworks - https://www.promptworks.com/jobs
Slalom Consulting - https://www.slalom.com
Azavea - https://www.azavea.com/
Comoto - https://ridecomoto.com/
Linode - https://www.linode.com/
The Wharton School - https://wrds-www.wharton.upenn.edu