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@ -22,7 +22,20 @@ The exercise proved highly, highly instructive, because sklearn is really easy t
It came as a surprise to me that understanding and implementing the algorithm were two completely different steps. It came as a surprise to me that understanding and implementing the algorithm were two completely different steps.
## Some visualizations and three curious findings about the dataset. ### All KMeans plots produced by the code.
![](KMeans-age.png)
![](KMeans-bmi.png)
![](KMeans-charges.png)
![](KMeans-children.png)
![](KMeans-cluster.png)
![](KMeans-region_numeric.png)
![](KMeans-sex_numeric.png)
![](KMeans-smoking_numeric.png)
## Three highlights findings about the dataset.
The code produces the above visualizations for all algorithms. Here are three highlights.
- Those who have 4+ children get charged less by insurance, and smoke less. - Those who have 4+ children get charged less by insurance, and smoke less.
![](children-charge-smoking.png) ![](children-charge-smoking.png)