From the course: Machine Learning with Data Reduction in Excel, R, and Power BI

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Challenge: Clustering

Challenge: Clustering

From the course: Machine Learning with Data Reduction in Excel, R, and Power BI

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Challenge: Clustering

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(upbeat electronic music) - [Instructor] In this chapter's challenge, your objective is to model the k-means algorithm on the monthly or daily data for the city you selected in the previous chapter's challenge. You can use the temperature and rainfall, like we did earlier in this chapter, or you can explore using some of your own fields. You can use your own chosen data set, choose a new one, or you can use the data set I set up in the last chapter. Think about if the model needs scaling before you use it and also think about how many clusters you want to use in the k-means algorithm. Feel free to try out several different approaches or data sets, if you would like.

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