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 — Data Stories — Part II of IV

PSU Business Accelerator

For October and November, our focus will be finalizing results and presenting those results to the public. After leaving one of our workshops, have you ever thought to yourself, "if only I had more time with this data . . . "? If so, then this next series is for you! Participants will be able to revisit their choice of any data set they started working with in one of our previous "Applied Data Science" series, with the goals of (a.) publishing a short writeup to a repository/portfolio; and (b.) presenting a summary of their work to a general audience in a special weeknight session in early November (details to be announced soon). As a reminder, those previous series included: * Stock market prices * Board game 1-10 ratings * Detecting toxic message board comments * Historical severe weather * Tri-Met train and bus tracking * ODOT traffic accident records * Written reviews of board games * Handwritten archaic Chinese characters * Manufacturing * Image Segmentation * Stack Overflow SQL interface * Spoken digit voice recognition * Music genre identification As always, we are language-agnostic, so please bring your laptop loaded with your favorite analysis tools!

Applied Data Science — Data Stories — Part III of IV

PSU Business Accelerator

For October and November, our focus will be finalizing results and presenting those results to the public. After leaving one of our workshops, have you ever thought to yourself, "if only I had more time with this data . . . "? If so, then this next series is for you! Participants will be able to revisit their choice of any data set they started working with in one of our previous "Applied Data Science" series, with the goals of (a.) publishing a short writeup to a repository/portfolio; and (b.) presenting a summary of their work to a general audience in a special weeknight session in early November (details to be announced soon). As a reminder, those previous series included: * Stock market prices * Board game 1-10 ratings * Detecting toxic message board comments * Historical severe weather * Tri-Met train and bus tracking * ODOT traffic accident records * Written reviews of board games * Handwritten archaic Chinese characters * Manufacturing * Image Segmentation * Stack Overflow SQL interface * Spoken digit voice recognition * Music genre identification As always, we are language-agnostic, so please bring your laptop loaded with your favorite analysis tools!

Applied Data Science — Data Stories — Part IV of IV

PSU Business Accelerator

For October and November, our focus will be finalizing results and presenting those results to the public. After leaving one of our workshops, have you ever thought to yourself, "if only I had more time with this data . . . "? If so, then this next series is for you! Participants will be able to revisit their choice of any data set they started working with in one of our previous "Applied Data Science" series, with the goals of (a.) publishing a short writeup to a repository/portfolio; and (b.) presenting a summary of their work to a general audience in a special weeknight session in early November (details to be announced soon). As a reminder, those previous series included: * Stock market prices * Board game 1-10 ratings * Detecting toxic message board comments * Historical severe weather * Tri-Met train and bus tracking * ODOT traffic accident records * Written reviews of board games * Handwritten archaic Chinese characters * Manufacturing * Image Segmentation * Stack Overflow SQL interface * Spoken digit voice recognition * Music genre identification As always, we are language-agnostic, so please bring your laptop loaded with your favorite analysis tools!

Data Discussions - Cloudability

Cloudability

Topic is: Cutting Edge Data Tools presented by Erik Jones. Remember to checkout our local sponsors: Profocus: http://www.profocustechnology.com/ MILKRUN: http://www.localmilkrun.com/ -Ian

Past events (285)

Applied Data Science — Data Stories — Part I of IV

PSU Business Accelerator

Photos (88)

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