/Weather-Data-Clustering-Using-k-means

In this notebook, I will learn how to perform k-means lustering using scikit-learn in Python. I will use cluster analysis to generate a big picture model of the weather at a local station using a minute-graunlarity data. In this dataset, I have in the order of millions records. How do I create 12 clusters out of them? NOTE: The dataset that I will use is in a large CSV file called minute_weather.csv downloaded from: https://drive.google.com/open?id=0B8iiZ7pSaSFZb3ItQ1l4LWRMTjg

Primary LanguageJupyter Notebook

Stargazers