Challenge: Implementing Gaussian Mixture Models
Swipe to start coding
You are given a synthetic dataset stored in the data
variable.
-
Initialize a Gaussian mixture model with
3
clusters, setrandom_state
to42
, and store it in thegmm
variable. -
Fit the model on the dataset, predict the cluster labels and store the result in the
labels
variable. -
For each cluster
i
, extract the points belonging to this cluster and store the result in thecluster_points
variable.
Solution
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Completion rate improved to 2.94
Challenge: Implementing Gaussian Mixture Models
Swipe to show menu
Swipe to start coding
You are given a synthetic dataset stored in the data
variable.
-
Initialize a Gaussian mixture model with
3
clusters, setrandom_state
to42
, and store it in thegmm
variable. -
Fit the model on the dataset, predict the cluster labels and store the result in the
labels
variable. -
For each cluster
i
, extract the points belonging to this cluster and store the result in thecluster_points
variable.
Solution
Thanks for your feedback!
Awesome!
Completion rate improved to 2.94single