Emilia Alonso's repositories
Classifying-reggaeton-songs-with-Unsupervised-Learning-LDA-Model-
The main of this project is to outline the process for using Web Scapping and Natural Language methods to clean and preprocess text data in order to apply Unsupervised Learning (LDA ) for classifying different reggaeton songs based on its lyrics.
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COVID-Spain
In this project Spanish COVID positive cases cases were analyzed. Forecast also was made in order to predict future positive cases. Pandas, Numpy and Matplotlib libraries were used to preproccesing tasks. Statsmodels api was used to predict and analyzed the COVID positive cases time serie.
EmiliaAlonso
Config files for my GitHub profile.
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Time-Series-Analysis---PBI
In this project we try lo analize and predict the Argentinian GDP for the first trimester of 2021.
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