Name: Plenty of fish in the sea... and plenty of data too
Start: 2018-02-15T18:30:00Z
End: 2018-02-15T21:00:00Z
Location: Zalando Dublin

Venue Capacity: 80 people

The capacity of the venue is about 80 people but because of no-shows, we have a policy of first-come, first-served on the night in the event of the room filling up. Managing no-shows is a problem all Meetups have to deal with and this is the fairest method we can think of. While we have never been in a position to turn anyone away for capacity reasons, it is always a possibility, so please arrive early to avoid disappointment on the night.

There is an abundance of data on dating sites out there, how about we have a look at it using data science.... we already have the domain knowledge... should be easy, lets see what we find (famous last words). We'll be going through the various steps of scraping / web crawling, cleaning, understanding and digging through the data from a certain dating site. We will look at its diversity and the challenges in the analysis when using multiple machine learning tools. Looking both at the high and low level information that comes from the data along with the lessons learned from the process.

Patrick is a data scientist for a non-profit organisation that works on behalf of Government to improve outcomes for people experiencing disadvantage and social exclusion.Taking diverse and disparate data sets making better use of the organisations data with BI and statistics. Patrick graduated with a degree in physics from DIT and PHD from NUI Galway. He previously worked mainly in instrumentation in both academia, industrial R&D. He made the switch to data 3 years ago by going back to education and has continued to learn by doing... hence he volunteered for a talk.

Giorgi Jvaridze

Paddy Collins

Dublin Data Science

Technology

Artificial Intelligence

Open Source

Data Management

Business Intelligence

Hadoop

Big Data

Machine Learning

Data Mining

NoSQL

Data Analytics

Data Visualization

Predictive Analytics

Data Science

Applied Statistics

Plenty of fish in the sea... and plenty of data too

Zalando Dublin

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Dublin Data Science

Plenty of fish in the sea... and plenty of data too

Dublin Data Science

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