Industry Use Case

Grouping Steel Types Based on Mechanical Properties

This project introduces the learner to the concept of Clustering Techniques.

Application of various clustering techniques to group the steel type based on its mechanical properties
  • 2 bar graph
    Difficulty: Intermediate

    Foundational knowledge or experience in statistics or analytics is recommended

  • Asset 1
    Duration: Approximately 3 hours

Course Overview

  • The process of clustering involves grouping the population or data points into a number of groups so that the data points within each group are more similar to one another than the data points within other groups.
  • Understanding the mechanical properties of steel becomes crucial for selecting the best grade of steel based on the requirements. This is a heavy task as the properties of steels are very specific in nature due to it is compositions.
  • The use of telemetry data helps to combine vehicle groups and discover places where new service facilities and hotspot zones can be allocated.
  • Learn to analyze telematics data to cluster vehicle groups and find regions to allocate new service centers and hotspot regions for campaign execution using various clustering techniques.

What’s included

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Access this case study for life once completed

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Desktop Only

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Skills you will learn

Data Management

Data Visualization

Data Mining

Clustering Analysis

Associated Learning Tracks

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