machine learning algorithm notes

I started writing this little guide as a quick summary of some of the algorithms we might be looking at in this class. I find it helpful to walk through a little more math.

  • Naive Bayes
  • BIRCH
  • DBSCAN
  • KMeans
  • Logistic Regression
  • Principal Component Analysis (PCA)

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