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Wednesday, April 12, 2017

K mean clustering sklearn best practice - Udacity Machine Learning Nanodegree Unsupervised Learning

There are three key k means clustering parameters in sklearn that you will need to pay attention to:

  • Number of centroids, aka center of clusters, initialized
  • Max number of iterations, used to optimize the algorithm. Best practice recommended by Udacity is 300
  • Number of different iterations, with initialization of centroids

Amazon Alexa 101 - How to make your first app

Code helloworld app using Amazon Alexa. Make your first voice search, voice assistant app. Amazon Alexa app making for dummies. Learn to cod...