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Identifying Behaviour Patterns using Machine Learning Techniques

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Certification

Identifying Behaviour Patterns using Machine Learning Techniques

Use ML techniques to identify patterns of behaviour based on user actions.

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Description

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Features

This course includes

Duration

1.6 hour
Video Content
1.6 hour
Level
Beginner
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Lifetime Access
Language
English
Subtitles
English

Careervira Take

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Course Credibility

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Pedagogy

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Hands-on training

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Career impact

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Pricing

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Assessment

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Skills

ClusteringProbabilityMachine Learning TechniquesData ScienceMachine Learning

Learning Goals

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

Course Content

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Prerequisites/Requirements

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 end, viewers will be able to predict users behaviour using Hidden Markov Model and understand highest probability

Target Audience

Students
Degree Holders
Mid-Career Professionals
Professional Learners

Instructors

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Tomasz Lelek

Author

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Course Overview

Instructor-Moderated Discussions

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International faculty

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₹11,393

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