This project forked from filsky0599/progetto-imad
Starting from a dataset, which concerns two years gas consumption trend in Italy in function of two parameters (day of the year, day of the week), we want to identify the model which represents our data in the better way. Afterwards, we created a function that predicts the gas consumption value, using the best identified model, once you insert a tuple composed by the two parameters mentioned before.
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I'm a Data Science consultant, at Go Reply. I work in the Data Engineering and Machine Learning areas, leveraging different Google Cloud services (e.g. Vertex AI, Cloud Composer, Dataform, BigQuery, etc.).
During my free time I code, read books and play videogames.
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