Hack Data with Math

Everyone can do data science!

At this meetup we will drill down into these datasets:

1. MNIST Handwritten digits images dataset (http://yann.lecun.com/exdb/mnist/)

2. Kaggle Allstate dataset (http://www.kaggle.com/c/ClaimPredictionChallenge)

3. Car Fatality dataset (https://s3.amazonaws.com/0xdata-public/examples/h2o/BodilyInjury/carFatalities.csv) [Download] Readme (https://s3.amazonaws.com/0xdata-public/examples/h2o/BodilyInjury/FatalityReadMe.rtf) [Download]

and time permitting:

4. Movie Reviews dataset (http://www.cs.cornell.edu/People/pabo/movie-review-data/review_polarity.tar.gz) [Download]

This is a hands-on workshop on how to interface with H2O using your web browser and do some data science.

So:

A) Grab an H2O jar (http://0xdata.com/h2O/) (if you haven't already!)

B) Go to our docs page and get started (http://docs.0xdata.com/quickstart/top.html)!

If time permits, we will also have a hands-on demonstration of the h2o-R interface and possibly a hands-off demo in Python.

For R: Follow the steps under Sri's comment (https://www.meetup.com/H2Omeetup/events/132640822/?_af_eid=132640822&a=uc1_te&_af=event)

For even more data resources:

http://docs.0xdata.com/publicdata.html

Bring your curiosity, laptop, and a hacker hat!

One last thing: Look for a blog post by myself and Irene (0xdata's community hacker) tomorrow evening! In the mean time, check out our other blogs (http://0xdata.com/blog/)!

See you all Thursday!