Identifying Behaviour Patterns using Machine Learning Techniques [Video]
Nowadays web-sites needs to handle huge amount of traffic. We can leverage that fact and capture user interactions with the application. For further analysis.
In applications that needs to deal with huge amount of traffic it is very hard to detect anomalies. We’ll learn how to apply clustering to find anomalies in web
On the e-commerce sites we want to predict when and what user wants to buy in the future. We can use the Hidden markov Model to find transitions between states and
This course will start with clustering that will help to detect network traffic and analyze users behaviour using time series data using Gaussian Mixture Model. By the
|Course Length||1 hour 12 minutes|
|Date Of Publication||21 Sep 2017|