personal/nunosempere.github.io
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Update readme.md

Browse Source
This commit is contained in:
Nuño Sempere 2019-10-12 20:01:20 +02:00 committed by GitHub
parent f3d4becfe4
commit a6a746d7b6
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 14 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

15
maths-prog/MachineLearningDemystified/readme.md
View File

@ -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.
## 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.
![](children-charge-smoking.png)