Most comprehensive demo of outlier detection algorithms 

Get the most comprehensive demo of top 10 outlier detection algorithms
00:00 Introduction
00:54 Visual Approach
01:31 Box-plot
03:09 Dimensionality Reduction
05:00 KMEANS clustering
06:38 Density-based clustering
07:59 Hierarchical clustering
09:10 Isolation forest
10:11 Local Outlier Factor
11:39 SVM (Machine learning)
13:07 Autoencoder (Deep learning)
14:17 DEMO
You can try out the demo at experiencedatascience.com