Industry Use Case

Improving Product Quality With Feature Engineering

The project emphasizes on building a strong foundation on Feature engineering techniques for cleaning and organizing the data.

Improving Product Quality With Feature Engineering (1)
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    Difficulty: Advanced

    Designed for those with a technical background or industry experience

  • Asset 1
    Duration: Approximately 3 hours

Course Overview

  • One of the most vital steps when extracting or creating a new dataset is through vitalizing different feature engineering techniques.
  • The chocolate industry is an ever growing market that caters to the needs of millions of people across the world. Observing this trend, the focus of the companies has now shifted to making premium quality chocolates for the consumers by understanding their preferences and improvising on the products available in the market.
  • For this, using various data mining techniques along with feature engineering techniques can be used to assess the most important factors influencing the type of chocolate consumed to further create effective business strategies.
  • Learn to apply multiple feature engineering and data mining techniques to create useful visualization charts and improve the overall product quality.

What’s included

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Lifetime Access

Access this case study for life once completed

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Flexible Scheduling

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Desktop Only

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Skills you will learn

Data Mining

Data Management

Data Visualization

Feature Engineering Concepts

Associated Learning Tracks

N/A

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