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Identifying Behaviour Patterns using Machine Learning Techniques
Anomaly Detection with K-means Clustering
The Course Overview (1:55)
Anomaly Detection (5:05)
Analyzing and Loading Input Data in Spark (3:59)
Implementing Clustering - Choosing Number of Clusters (5:57)
Detecting Anomalies in Network Traffic (3:30)
Finding Patterns in Time Series Data
Analyzing Time Series Data Using Clustering (3:55)
Implementing GMM in Apache Spark (3:08)
Validation and Testing (5:59)
Finding Intent of Users Using HMM
Hidden Markov Model Explanation (5:39)
Implementing HMM for Weather Forecast (6:55)
Using HMM to Find State of a User (6:19)
Finding Anomalies in Data Using Graphs
Graph Data for Anomaly Detection (6:01)
Finding Anomalies in Social Network (6:46)
Finding Suspicious Users in Social Network (7:03)
Implementing Clustering - Choosing Number of Clusters
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