Using Data Science & Serverless Python to Find an Apartment in Toronto

With a continued shortage of rental units, finding the ideal apartment in Toronto, let alone one you can afford, is a daunting & time-consuming task.

In this talk, Ian Whitestone (Data Scientist at Shopify) will highlight how you can use Serverless Framework Zappa for Python on AWS, PostGIS, Slack, and some Regression Techniques to find a place to live.

YOUR HOMEWORK :)

https://github.com/Miserlou/Zappa
https://github.com/spotify/annoy
https://www.statsmodels.org/dev/examples/notebooks/generated/quantile_regression.html
https://ianwhitestone.work/slides/python-meetup-sept-2019.html#/
https://ianwhitestone.work/slides/pycon-canada-2019.html#/

SPONSORS

Big thanks to our Catering Sponsor https://www.TrendMicro.com/ - the world's leading security services platform for cloud builders, and https://Myplanet.com for hosting (and recording) our gatherings!

As always, we'll be raffling one free digital product (of your choice) from our Learning Sponsor https://www.Manning.com/

Please bring along plenty of enthusiasm and questions - we're looking forward to it being a fun-filled night!

FUTURE TALKS

If you'd like to speak or simply want to suggest a topic or a presenter, join our community via http://slack.serverlesstoronto.org & post your proposal to the #want-to-present Slack channel (https://serverless-toronto.slack.com/messages/CGG6LJGKD

PAST TALKS

• most of the videos: http://youtube.serverlesstoronto.org/
• all of the slide decks: http://slideshare.serverlesstoronto.org/