In this event each team will talk about their findings and how that might affect your daily life in Seattle. You will hear about their process and a few ideas they have to explain the observed data and some recommendations to improve.
Data Circles has launched a data science project analyzing Seattle traffic collision data to help prioritize road improvements and prevent future collisions. This is an opportunity to work through a project with real world data from beginning to end in a small team with experienced data scientists.
In stand up we are going to review the questions you want to solve and the baseline models for the ML teams.
Data Circles has launched a data science project analyzing Seattle traffic collision data to help prioritize road improvements and prevent future collisions. This is an opportunity to work through a project with real world data from beginning to end in a small team with experienced data scientists.
In stand up we are going to review the questions you want to solve and the baseline models for the ML teams.
Data Circles has launched a data science project analyzing Seattle traffic collision data to help prioritize road improvements and prevent future collisions. This is an opportunity to work through a project with real world data from beginning to end in a small team with experienced data scientists.
In stand up we are going to review the questions you want to solve and the baseline models for the ML teams.
Data Circles has launched a data science project analyzing Seattle traffic collision data to help prioritize road improvements and prevent future collisions. This is an opportunity to work through a project with real world data from beginning to end in a small team with experienced data scientists.
In stand up we are going to review the questions you want to solve and the baseline models for the ML teams.
Data Circles has launched a data science project analyzing Seattle traffic collision data to help prioritize road improvements and prevent future collisions. This is an opportunity to work through a project with real world data from beginning to end in a small team with experienced data scientists.
In stand up we are going to review the questions you want to solve and the baseline models for the ML teams.
Data Circles has launched a data science project analyzing Seattle traffic collision data to help prioritize road improvements and prevent future collisions. This is an opportunity to work through a project with real world data from beginning to end in a small team with experienced data scientists.
In stand up we are going to review the questions you want to solve and the baseline models for the ML teams.
As an extension of the Traffic Collisions project, this week we will have a mini workshop on how to use GitHub as a tool to collaborate. This tutorial is planned for the participants of the Traffic Collisions project however is open to everyone in the Data Circles community.
Data Circles has launched a data science project analyzing Seattle traffic collision data to help prioritize road improvements and prevent future collisions. This is an opportunity to work through a project with real world data from beginning to end in a small team with experienced data scientists.
In this second stand up we are going to review the "business understanding" , key questions you want to answer and the layout of the plans you have to collaborate to get to the finish line.
This is our first ad hoc, mini workshop for the members of the project teams. This informal workshop will cover plotting traffic collision data in Tableau Public. Other Data Circles folks are welcome too.
Data Circles has launched a data science project analyzing Seattle traffic collision data to help prioritize road improvements and prevent future collisions. This is an opportunity to work through a project with real world data from beginning to end in a small team with experienced data scientists.
In this first stand up we are going to review the "business understanding" , key questions you want to answer and the layout of the plans you have to collaborate to get to the finish line.
We are excited to launch a data science project analyzing Seattle traffic collision data to help prioritize road improvements and prevent future collisions. This is an opportunity to work through a project with real world data from beginning to end in a small team with experienced data scientists. This kickoff event will provide describe the scope of the project and introduce teammates, mentors, and organizers.
In case you missed it, you can catch the video from the event here…
For the project analyzing Seattle Collision Data, the Projects Circle organized a workshop on time series analysis on July 1, 2020,, led by Victoria Martin.
We are excited to launch a data science project analyzing Seattle traffic collision data to help prioritize road improvements and prevent future collisions. This is an opportunity to work through a project with real world data from beginning to end in a small team with experienced data scientists. To help people with the project we have prepare two workshops that can be take independent of participation in the project.
In this workshop Seattle traffic collision data from years 2004 - present will be mined to glean information into predicting future collisions and making recommendations useful for improving intersection safety. Attendees will leave the workshop having seen a demonstration around extracting feature importance, utilizing temporal features in time series data, and building both classification and regression models.
For up to the minute info about this event, please RSVP on our Meetup page.
In case you missed it, you can find the video from this workshop here…
We are excited to launch a data science project analyzing Seattle traffic collision data to help prioritize road improvements and prevent future collisions. This is an opportunity to work through a project with real world data from beginning to end in a small team with experienced data scientists.
To prepare for this project we are hosting two virtual workshops: Exploratory Data Analysis at 6 p.m. on June 24th and Time Series Analysis at 6 p.m. on July 1st. Data science knowledge is not required, but prior experience with Jupyter notebooks and Python is important.
We hope you are interested in joining our project, but if not, you are still welcome to participate in either workshop. Registration on MeetUp is required for each workshop, so we can send you the link to the video conference.
To plan the workshop, we would like to learn a little about your experience with python libraries and statistical analyses. Please fill out this brief survey.
https://docs.google.com/forms/d/e/1FAIpQLSfCHr-4DHXC0YLpFQ3OPYTma8l3s4jBwcOI9ggw_EoXeDo9hw/viewform?usp=sf_link
About the Presenters
Niwako got her Ph.D. at the University of Illinois at Urbana Champaign. She was also a professor of psychology at the University of Wisconsin at LaCrosse before moving to Seattle. She taught research methods and statistics to undergraduate students for many semesters while in grad school. Her research has focused on how social relationships and mental health are linked to each other in everyday life. Because of the nature of her research, she has done a lot of longitudinal and multivariate analyses.
Erin studied economics at Whitman College and earned her M.S. in Data Science from the University of Washington in 2018. She has worked in the field of computational law and analyzed demographic data like in this study of https://public.tableau.com/profile/erin.orbits#!/vizhome/SeattleGentrificationAtlas/Atlas. She is a longtime Seattle resident, and currently spends much of her time chasing a crazy kitten named Oliver.
For up to the minute info about this event, please RSVP on our Meetup page.
Join us for an R, Deep Learning and Docker workshop! #seattledatascience, #datascience, #R, #Docker, #DeepLearning
Join us for an R, Deep Learning and Docker workshop! #seattledatascience, #datascience, #R, #Docker, #DeepLearning
Workshop to help prepare your proposal for the WiDS Puget Sound Conference - 2020.
