Significant Wave Prediction Using Neural Network

Significant Wave Prediction Using Neural Network

Significant Wave Prediction Using Neural Network. Test Drive Using Pytorch and Comparison of Models

Prologue

So, right now I want to test my skill using PyTorch. I am new to PyTorch, previously I am using Tensorflow to build an ML model. I already read all the basic tutorials and ready to build a real model using real data. What your favorite site to found real data to test your model? For me it’s kaggle.com. After scrolling through all available datasets, I choose this wave dataset. Download it and prepare to play with it.

First Glimpse of the Dataset

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Here we have the date and time for when this data captured, significant wave height (Hs), maximum wave height (Hmax), The zero up crossing wave period (Tz) (err, I don’t know what is this), The peak energy wave period (Tp) (Energy? in what? I don’t know), peak direction (I think this is a direction of where the wave come from?), and the last is sea surface temperature (SST). We have a dataset with 30-min time resolution. -99.9 is a flag for no data I think. I am not familiar with Oceanographic data but I will do my best :D.

From all available columns, what I understand is just Hs, Hmax, and SST (and of course date and time too). I will try to predict Hs.

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