Identifying Behaviour Patterns using Machine Learning Techniques

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    Course

  • Methodology

    Online

  • Start date

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Learn to identify behaviour patterns based on the user actions on the web site using ML techniquesNowadays web-sites needs to handle huge amount of traffic. We can leverage that fact and capture user interactions with the application. For further analysis. Next, we can analyze users behavior and capture patterns on which we are able to react properly.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 traffic. Next, we can analyze users behaviour and when they tend to do on our application using time series data. We will be using GMM clustering technique to achieve that.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 find the transition with highest probability.About the AuthorTomasz Lelek is a Software Engineer, programming mostly in Java, Scala. Fan of microservices architecture, and functional programming. He dedicates considerable time and effort to be better every day. Recently diving into Big Data technologies such as Apache Spark and Hadoop.
He is passionate about nearly everything associated with software development. Thinking that we should always try to consider different solutions and approaches before solving a problem. Recently he was a speaker at conferences in Poland - Confitura and JDD (Java Developers Day) and also at Krakow Scala User Group.
He also conducted live coding session at Geecon Conference.JDD:  ML Spark talkCurrently working on this website using ML: 

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Online

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Different dates availableEnrolment now open

About this course

Understand K-Means Clustering to detect network traffic
Feature Normalization and Categorical Variables
Analyzing Time Series data using Clustering
Verifying and Validation of Model
Identifying Patterns using in time-series data using GMM
Explore explanation of Hidden Markov Model Explanation
Using HMM for defining transitions between states

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This centre's achievements

2021

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The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 6 years

Subjects

  • Network Training
  • Programming
  • Web
  • Logic
  • Network
  • Apache
  • Java
  • Options

Course programme

Anomaly Detection with K-means Clustering 5 lectures 20:28 The Course Overview This video provides an overview of the entire course. Anomaly Detection This video explores what is an anomaly and how to detect it?
  • Learn what is Fraud-Detection
  • Define clustering
  • Learn about K-means Clustering and K-hyperparameter
Analyzing and Loading Input Data in Spark In this video, we will take a look at the input data set for finding anomalies.
  • Load data to spark
  • Parse data
  • Load into DF API
Implementing Clustering - Choosing Number of Clusters In this video, we will learn how to Implement Clustering in Spark.
  • Choose Number of Clusters
  • Tweak Clustering Model
Detecting Anomalies in Network Traffic This video demonstrates how to use Clustered Network Traffic to Find Anomaly.
  • Find an outlier comparing to distance to any of the clusters
Anomaly Detection with K-means Clustering - Quiz Now that you are done with the videos of section 1, let’s assess yourlearning. Here, are a few questions; followed by a few options, out ofwhich 1 is the correct option. Select the right option and validate your learning! The answers are provided in a separate sheet. Anomaly Detection with K-means Clustering 5 lectures 20:28 The Course Overview This video provides an overview of the entire course. Anomaly Detection This video explores what is an anomaly and how to detect it?
  • Learn what is Fraud-Detection
  • Define clustering
  • Learn about K-means Clustering and K-hyperparameter
Analyzing and Loading Input Data in Spark In this video, we will take a look at the input data set for finding anomalies.
  • Load data to spark
  • Parse data
  • Load into DF API
Implementing Clustering - Choosing Number of Clusters In this video, we will learn how to Implement Clustering in Spark.
  • Choose Number of Clusters
  • Tweak Clustering Model
Detecting Anomalies in Network Traffic This video demonstrates how to use Clustered Network Traffic to Find Anomaly.
  • Find an outlier comparing to distance to any of the clusters
Anomaly Detection with K-means Clustering - Quiz Now that you are done with the videos of section 1, let’s assess yourlearning. Here, are a few questions; followed by a few options, out ofwhich 1 is the correct option. Select the right option and validate your learning! The answers are provided in a separate sheet. The Course Overview This video provides an overview of the entire course. The Course Overview This video provides an overview of the entire course. The Course Overview This video provides an overview of the entire course. The Course Overview This video provides an overview of the entire course. This video provides an overview of the entire course. This video provides an overview of the entire course. Anomaly Detection This video explores what is an anomaly and how to detect it?
  • Learn what is Fraud-Detection
  • Define clustering
  • Learn about K-means Clustering and K-hyperparameter
Anomaly Detection This video explores what is an anomaly and how to detect it?
  • Learn what is Fraud-Detection
  • Define clustering
  • Learn about K-means Clustering and K-hyperparameter
Anomaly Detection This video explores what is an anomaly and how to detect it?
  • Learn what is Fraud-Detection
  • Define clustering
  • Learn about K-means Clustering and K-hyperparameter
Anomaly Detection This video explores what is an anomaly and how to detect it?
  • Learn what is Fraud-Detection
  • Define clustering
  • Learn about K-means Clustering and K-hyperparameter
This video explores what is an anomaly and how to detect it?
  • Learn what is Fraud-Detection
  • Define clustering
  • Learn about K-means Clustering and K-hyperparameter
This video explores what is an anomaly and how to detect it?
  • Learn what is Fraud-Detection
  • Define clustering
  • Learn about K-means Clustering and K-hyperparameter
Analyzing and Loading Input Data in Spark In this video, we will take a look at the input data set for finding anomalies.
  • Load data to spark
  • Parse data
  • Load into DF API
Analyzing and Loading Input Data in Spark In this video, we will take a look at the input data set for finding anomalies.
  • Load data to spark
  • Parse data
  • Load into DF API
Analyzing and Loading Input Data in Spark In this video, we will take a look at the input data set for finding anomalies.
  • Load data to spark
  • Parse data
  • Load into DF API
Analyzing and Loading Input Data in Spark In this video, we will take a look at the input data set for finding anomalies.
  • Load data to spark
  • Parse data
  • Load into DF API
In this video, we will take a look at the input data set for finding anomalies.
  • Load data to spark
  • Parse data
  • Load into DF API
In this video, we will take a look at the input data set for finding anomalies.
  • Load data to spark
  • Parse data
  • Load into DF API
Implementing Clustering - Choosing Number of Clusters In this video, we will learn how to Implement Clustering in Spark.
  • Choose Number of Clusters
  • Tweak Clustering Model
Implementing Clustering - Choosing Number of Clusters In this video, we will learn how to Implement Clustering in Spark.
  • Choose Number of Clusters
  • Tweak Clustering Model
Implementing Clustering - Choosing Number of Clusters In this video, we will learn how to Implement Clustering in Spark.
  • Choose Number of Clusters
  • Tweak Clustering Model
Implementing Clustering - Choosing Number of Clusters In this video, we will learn how to Implement Clustering in Spark.
  • Choose Number of Clusters
  • Tweak Clustering Model
In this video, we will learn how to Implement Clustering in Spark.
  • Choose Number of Clusters
  • Tweak Clustering Model
In this video, we will learn how to Implement Clustering in Spark.
  • Choose Number of Clusters
  • Tweak Clustering Model
Detecting Anomalies in Network Traffic This video demonstrates how to use Clustered Network Traffic to Find Anomaly.
  • Find an outlier comparing to distance to any of the clusters
Detecting Anomalies in Network Traffic This video demonstrates how to use Clustered Network Traffic to Find Anomaly.
  • Find an outlier comparing to distance to any of the clusters
Detecting Anomalies in Network Traffic This video demonstrates how to use Clustered Network Traffic to Find Anomaly.
  • Find an outlier comparing to distance to any of the clusters
Detecting Anomalies in Network Traffic This video demonstrates how to use Clustered Network Traffic to Find Anomaly.
  • Find an outlier comparing to distance to any of the clusters
This video demonstrates how to use Clustered Network Traffic to Find Anomaly.
  • Find an outlier comparing to distance to any of the clusters
This video demonstrates how to use Clustered Network Traffic to Find Anomaly.
  • Find an outlier comparing to distance to any of the clusters
Anomaly Detection with K-means Clustering - Quiz Now that you are done with the videos of section 1, let’s assess yourlearning. Here, are a few questions; followed by a few options, out ofwhich 1 is the correct option. Select the right option and validate your learning! The answers are provided in a separate sheet. Anomaly Detection with K-means Clustering - Quiz Now that you are done with the videos of section 1, let’s assess yourlearning. Here, are a few questions; followed by a few options, out ofwhich 1 is the correct option. Select the right option and validate your learning! The answers are provided in a separate sheet. Anomaly Detection with K-means Clustering - Quiz Now that you are done with the videos of section 1, let’s assess yourlearning. Here, are a few questions; followed by a few options, out ofwhich 1 is the correct option. Select the right option and validate your learning! The answers are provided in a separate sheet. Anomaly Detection with K-means Clustering - Quiz Now that you are done with the videos of section 1, let’s assess yourlearning. Here, are a few questions; followed by a few options, out ofwhich 1 is the correct option. Select the right option and validate your learning! The answers are provided in a separate sheet. Now that you are done with the videos of section 1, let’s assess yourlearning. Here, are a few questions; followed by a few options, out ofwhich 1 is the correct option. Select the right option and validate your learning! The answers are provided in a separate sheet. Now that you are done with the videos of section 1, let’s assess yourlearning. Here, are a few questions; followed by a few options, out ofwhich 1 is the correct option. Select the right option and validate your learning! The answers are provided in a separate sheet. Finding Patterns in Time Series Data 2 lectures 07:03 Analyzing Time Series Data Using Clustering This video explains Gaussian Mixture Model.
  • Cluster Data using Post Timestamp
  • Learn How to use GMM in a proper way
Implementing GMM in Apache Spark In this video, we will learn how to preparing Data for Clustering.
  • Use GMM to Cluster posts by time of a post
  • Implement Logic in Apache Spark
Finding Patterns in Time Series Data - Quiz Now that you are done with the videos of section 2, let’s assess yourlearning. Here, are a few questions; followed by a few options, out ofwhich 1 is the correct option. Select the right option and validate your learning! The answers are provided in a separate sheet. Finding Patterns in Time Series Data. 2 lectures 07:03 Analyzing Time Series Data Using Clustering This video explains Gaussian Mixture Model.
  • Cluster Data using Post Timestamp
  • Learn How to use GMM in a proper way
Implementing GMM in Apache Spark In this video, we will learn how to preparing Data for Clustering.
  • Use GMM to Cluster posts by time of a post
  • Implement Logic in Apache Spark
Finding Patterns in Time Series Data - Quiz Now that you are done with the videos of section 2, let’s assess yourlearning. Here, are a few questions; followed by a few options, out ofwhich 1 is the correct option. Select the right option and validate your learning! The answers are provided in a separate sheet. Analyzing Time Series Data Using Clustering This video explains Gaussian Mixture Model.
  • Cluster Data using Post Timestamp
  • Learn How to use GMM in a proper way
Analyzing Time Series Data Using Clustering This video explains Gaussian Mixture Model.
  • Cluster Data using Post Timestamp
  • Learn How to use GMM in a proper way
Analyzing Time Series Data Using Clustering This video explains Gaussian Mixture Model.
  • Cluster Data using Post Timestamp
  • Learn How to use GMM in a proper way
Analyzing Time Series Data Using Clustering This video explains Gaussian Mixture Model.
  • Cluster Data using Post Timestamp
  • Learn How to use GMM in a proper way
This video explains Gaussian Mixture Model.
  • Cluster Data using Post Timestamp
  • Learn How to use GMM in a proper way
This video explains Gaussian Mixture Model.
  • Cluster Data using Post Timestamp
  • Learn How to use GMM in a proper way
Implementing GMM in Apache Spark In this video, we will learn how to preparing Data for Clustering.
  • Use GMM to Cluster posts by time of a post
  • Implement Logic in Apache Spark
Implementing GMM in Apache Spark In this video, we will learn how to preparing Data for Clustering.
  • Use GMM to Cluster posts by time of a post
  • Implement Logic in Apache Spark
Implementing GMM in Apache Spark In this video, we will learn how to preparing Data for Clustering.
  • Use GMM to Cluster posts by time of a post
  • Implement Logic in Apache Spark
Implementing GMM in Apache Spark In this video, we will learn how to preparing Data for Clustering.
  • Use GMM to Cluster posts by time of a post
  • Implement Logic in Apache Spark
In this video, we will learn how to preparing Data for Clustering.
  • Use GMM to Cluster posts by time of a post
  • Implement Logic in Apache Spark
In this video, we will learn how to preparing Data for Clustering.
  • Use GMM to Cluster posts by time of a post
  • Implement Logic in Apache Spark
Finding Patterns in Time Series Data - Quiz Now that you are done with the videos of section 2, let’s assess yourlearning. Here, are a few questions; followed by a few options, out ofwhich 1 is the correct option. Select the right option and validate your learning! The answers are provided in a separate sheet. Finding Patterns in Time Series Data - Quiz Now that you are done with the videos of section 2, let’s assess yourlearning. Here, are a few questions; followed by a few options, out ofwhich 1 is the correct option ding patterns.
  • Learn how to find an anomaly in a...

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Software Engineers with professional Experience in Scala and Java

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Identifying Behaviour Patterns using Machine Learning Techniques

£ 150 VAT inc.

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