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Analyzing historical weather data with Python - Machine learning clustering with Scikit-Learn + Folium visualization. Workflow available in my github

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Machine Learning Clustering Exercise 🔨

Analyzing historical weather data with Python - Machine learning clustering with Scikit-Learn + Folium visualization. Reproducible jupyter notebook workflow that includes fetching the data from Internet and all the cleaning and wranglng process.

THE TASK: Using a clustering algorithm on UK historical weather data, would it be possible to cluster the different meteorological stations into groups that have “similar” weather? In terms of Machine Learning, we can describe this as an unsupervised clustering problem. That is an exploration for structure within the data.

100% REPRODUCIBLE!

https://github.com/InmaculadaRM/weatherClustering/blob/main/WeatherClusteringViz.ipynb

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Analyzing historical weather data with Python - Machine learning clustering with Scikit-Learn + Folium visualization. Workflow available in my github

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