Below you will find pages that utilize the taxonomy term “PyTorch”
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Project 6: Forecasting Industry Gross Revenue (Time Series Analysis)
In this project I tried to create a Time Series Model to learn the patterns of a series of Gross Revenue from the brazilian industry, from 2005 to 2020, in order to forecast this series along future time steps.
Approaches:
SARIMA Model: using Box & Jenkins Methodology, testing endogenous features as well.
LSTM Model: using the same features as before, even first and second differentiation of the series.
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Project 3: Music Genre Classification based on Lyrics (Multiclass Classification)
In this project I built a model do classify the genre of a music, based on its lyric. The model was trained with some popular brazilian music styles, such as Axé, Funk, MPB, Pagode, Samba and Sertanejo. I collected music lyrics in LETRAS.MUS.BR web site, I developed web scrappers, one for each music genre, using Python package BeaultifulSoup. Almost 1k lyrics was collected for each genre. The web crawlers codes are available here.