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Knowledge Discovery Process Models: From Traditional to Agile Modeling

Knowledge discovery is the process of discovering useful knowledge from a collection of data. In this course, we will learn about various algorithms that are used to derive knowledge and perform classification and prediction.

365 days course access

Live instructor-led online classes

Industry-based projects

Grasp the fundamentals of Artificial Intelligence and build AI applications

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Includes:

  • 4 hours of lecture Videos
  • 70 hands-on practice exercises
  • 49 Assessment exercises
  • 21 code analysis exercises
  • 420 knowledge based questions
  • 2 Live connect sessions
             (Master classes)
  • Lifetime access

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Knowledge Discovery Process Models: From Traditional to Agile Modeling

ABOUT THE COURSE

In this course, you will learn about classification and clustering, analyzing data for patterns, or co-occurrence using Association Rules, trend analysis using Time series analysis and sequence discovery and deriving information through summarization techniques.

COURSE OBJECTIVES

Upon successful completion of the course, the learner will be able to :
  • Master the various concepts in Knowledge Discovery Models.
  • Learn how Knowledge Discovery Models plays an important role in AI and ML algorithms.

Course Content

Classification

In this topic, you will learn about various classification algorithms and their implementations.

  • 1 Video
  • 7 hours
  • 80 Problems

Clustering

In this topic, you will learn about various clustering algorithms that group set of objects in such a way that objects in the same group are more similar to each other.

  • 1 Video
  • 7 hours
  • 80 Problems

Association Rules

In this topic, you will learn about analyzing data for patterns, or co-occurrence, in a database using Association Rule.

  • 1 Video
  • 7 hours
  • 80 Problems

Regression, Prediction

In this topic, you will learn about forming regression line for the given data and Predicting the outcome for a given input using the previously formed regression relation.

  • 1 Video
  • 7 hours
  • 80 Problems

Time Series Analysis

In this topic, you will learn about how to perform trend analysis using a statistical technique called Time Series Analysis.

  • 1 Video
  • 7 hours
  • 80 Problems

Sequence Discovery

In this topic, you will learn about finding statistically relevant patterns between data examples using Sequence Discovery.

  • 1 Video
  • 7 hours
  • 80 Problems

Summarization

In this topic, you will learn about deriving information from the data using various summarization techniques.

  • 1 Video
  • 7 hours
  • 80 Problems

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