2018 Competition Closes: Stay-Tuned for the Official Winner Announcement!

We took o n the challenge to spot nuclei and speed cures by creating solutions to automate nucleus detection. With the help of thousands of people around the globe, the conclusion of this year’s Data Science Bowl points to new beginnings in moving all medical research ahead from major threats like heart disease and diabetes to day to-day ailments like allergies or rare disorders.

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Some nice ML-libraries

I recently had a go at the Kaggle Acquire Valued Shoppers Challenge. This competition was a bit special in that the dataset was 22 GB, one of the biggest datasets they’ve had in a competition. While 22 GB may not quite qualify as big data, it’s certainly something that your average laptop will choke on when using standard methods.

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How to score 0.8134 in Titanic Kaggle Challenge

Updated: April 5th 2018
The Titanic challenge hosted by Kaggle is a competition in which the goal is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat.
I have been playing with the Titanic dataset for a while, and I have recently achieved an accuracy score of 0.

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People, systems, and the California fires

Watching the O’Reilly teams accept the challenge of the Kincade fire and subsequent power outages was nothing short of remarkable. Natural disasters are fundamentally about how people deal in the worst of circumstances. In California, it’s the recent horrific fires that have tested how people come together in the aftermath to survive and thrive.

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