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This repository provides a Python implementation of the Gaussian Mixture Model (GMM) algorithm for detecting extreme events in CMIP6 data.
This is the story of my first Data Science project, using real data from a variety of sources and with results that can be used in the real world. In this project, the idea is to analyze temperature, rainfall and flow rate data from the river that cuts through the city to answer the following questions: Have temperatures increased? Did this affect the level of rainfall and the flow of the River?
Data graph about the global temperature evolution in the last 300 years.