What we're about

The Portland Data Science group focuses on learning and implementing techniques in data collection, mining, retrieval, munging, analysis, and visualization. Members largely use Python, and some R, but this is essentially a language agnostic group and all technologies are welcomed! We aim to help beginners but have advanced practitioners in the community as well.

There are more resources located here: http://www.meetup.com/Portland-Data-Science (http://www.meetup.com/Portland-Data-Science-Group/about/).

Upcoming events (5+)

Applied Data Science — Music Genre Identification — Part I of IV

PLEASE NOTE THE EARLIER START TIME FOR THIS SERIES For August, we'll be working in small groups to build algorithms that identify which genre (rock, hip-hop, electronic, etc.) various short segments of music belong to. Everyone from beginners to experts is welcome. As always, our three objectives are: 1. Provide skill-level-appropriate challenges to all participants. 2. Participants collaborate with and learn from one another. 3. Those who attend all four Sundays finish a project they can add to their github/resume/portfolio. Bring your favorite data analysis software! We're language-agnostic. If you don't already have a favorite analysis tool, here are a few suggestions: http://goo.gl/W8Q6cV

Data Discussions - Cloudability

Cloudability

Local Sponsors: Profocus: http://www.profocustechnology.com/ MILKRUN: http://www.localmilkrun.com/ On Monday, let's share our favorite data blogs and podcasts! Cassie Kozyrkov – Chief Decision Scientist at Google, Inc. has lots of good topics on her Medium blog that get into the human side of data. https://medium.com/@kozyrkov Blogs: • Simply Statistics - https://simplystatistics.org/ Podcasts: • Podcast of Small Differences • Data Skeptic - https://dataskeptic.com/ -Ian

Applied Data Science — Music Genre Identification — Part II of IV

PLEASE NOTE THE EARLIER START TIME FOR THIS SERIES For August, we'll be working in small groups to build algorithms that identify which genre (rock, hip-hop, electronic, etc.) various short segments of music belong to. Everyone from beginners to experts is welcome. As always, our three objectives are: 1. Provide skill-level-appropriate challenges to all participants. 2. Participants collaborate with and learn from one another. 3. Those who attend all four Sundays finish a project they can add to their github/resume/portfolio. Bring your favorite data analysis software! We're language-agnostic. If you don't already have a favorite analysis tool, here are a few suggestions: http://goo.gl/W8Q6cV

Applied Data Science — Music Genre Identification — Part III of IV

PLEASE NOTE THE EARLIER START TIME FOR THIS SERIES For August, we'll be working in small groups to build algorithms that identify which genre (rock, hip-hop, electronic, etc.) various short segments of music belong to. Everyone from beginners to experts is welcome. As always, our three objectives are: 1. Provide skill-level-appropriate challenges to all participants. 2. Participants collaborate with and learn from one another. 3. Those who attend all four Sundays finish a project they can add to their github/resume/portfolio. Bring your favorite data analysis software! We're language-agnostic. If you don't already have a favorite analysis tool, here are a few suggestions: http://goo.gl/W8Q6cV

Past events (277)

Data Discussions - Cloudability

Cloudability

Photos (80)

Find us also at