How I won my 28th bronze medal on a Kaggle playground competition

This morning I was quite surprised to learn that I had won a bronze medal on Kaggle’s playground competition, season 3 episode 11. I had entered the competition a few weeks ago and had forgotten all about it, having moved on to other areas of study.

In this particular competition, I employed the use of a deep neural network (DNN). A DNN is a class of machine learning algorithms similar to an artificial neural network (ANN), which is an interconnected group of nodes inspired by simplification of neurons in the brain. DNN’s have more than one hidden layer situated between the input and output layers.

The blog post that I have written on this competition can be found here:- https://medium.com/mlearning-ai/how-i-used-a-deep-neural-network-to-make-predictions-on-costs-504fa000b48c

I have read that neural networks win competitions but, so far I have not seen, that has not been the case. Perhaps I need to study these devices in more detail and maybe then I will win a competition with one.